Publications

@inproceedings{frankel2026abcalign,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2609.34374},
 author = {Eric Frankel and Banghua Zhu and Sewoong Oh and Lillian J Ratliff},
 booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
 eprint = {2609.34374},
 pdf = {https://arxiv.org/pdf/2609.34374},
 title = {{ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control}},
 url = {https://arxiv.org/abs/2609.34374},
 year = {2026}
}

@inproceedings{isa2026achieving,
 arxiv = {https://arxiv.org/abs/2501.08626},
 author = {Jason T Isa and Sam Burden and Lillian J Ratliff},
 booktitle = {Forty-Second Annual Conference on Uncertainty in Artificial Intelligence},
 pdf = {https://openreview.net/pdf?id=ZUhwFIw4yH},
 title = {{Achieving Alignment Through Adaptive Play: Helping Optimize Objectives Without Observing Them}},
 url = {https://openreview.net/forum?id=ZUhwFIw4yH},
 year = {2026}
}

@inproceedings{liu2026adaptive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2605.11490},
 author = {Junyan Liu and Haipeng Luo and Lillian J Ratliff},
 booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
 eprint = {2605.11490},
 pdf = {https://arxiv.org/pdf/2605.11490},
 title = {{Adaptive Calibration in Non-Stationary Environments}},
 url = {https://arxiv.org/abs/2605.11490},
 year = {2026}
}

@inproceedings{narang2026dynamics,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2602.23565},
 author = {Adhyyan Narang and Sarah Dean and Lillian J Ratliff and Maryam Fazel},
 booktitle = {Forty-Second Annual Conference on Uncertainty in Artificial Intelligence},
 eprint = {2602.23565},
 pdf = {https://arxiv.org/pdf/2602.23565},
 title = {{Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing}},
 url = {https://arxiv.org/abs/2602.23565},
 year = {2026}
}

@inproceedings{maiti2026efficient,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2602.21436},
 author = {Arnab Maiti and Claire Zhang and Kevin Jamieson and Jamie Morgenstern and Ioannis Panageas and Lillian Ratliff},
 booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
 eprint = {2602.21436},
 title = {{Efficient Uncoupled Learning Dynamics with $O(T^{-1/4})$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback}},
 url = {https://par.nsf.gov/biblio/10681882},
 year = {2026}
}

@misc{gonzales2026limbo,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2609.22075},
 author = {Jake Gonzales and Arturo Flores Alvarez and Yu-Ming Chen and Aaron D Ames and Lillian J Ratliff and Manikantan Nambi},
 eprint = {2609.22075},
 pdf = {https://arxiv.org/pdf/2609.22075},
 title = {{LIMBO: Learning and Internalizing Model-Free Barrier Objectives for Agile and Safe Whole-Body Control}},
 url = {https://arxiv.org/abs/2609.22075},
 year = {2026}
}

@inproceedings{liu2026online,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2602.07205},
 author = {Junyan Liu and Haipeng Luo and Zihan Zhang and Lillian J Ratliff},
 booktitle = {Conference on Learning Theory},
 eprint = {2602.07205},
 pdf = {https://arxiv.org/pdf/2602.07205},
 title = {{Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation}},
 url = {https://arxiv.org/abs/2602.07205},
 year = {2026}
}

@inproceedings{maiti2026revisiting,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2602.21620},
 author = {Arnab Maiti and Junyan Liu and Kevin Jamieson and Lillian J Ratliff},
 booktitle = {Proceedings of the International Conference on Machine Learning},
 eprint = {2602.21620},
 pdf = {https://arxiv.org/pdf/2602.21620},
 title = {{Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners}},
 url = {https://arxiv.org/abs/2602.21620},
 year = {2026}
}

@misc{QiAnchorQ2026,
 author = {Carl Qi and Weijun Dong and Xiaojie Wang and Peiyi Chen and Rahul Sajnani and Mingyuan Zhang and Amy Zhang and Jose Barreiros and Manikantan Nambi and Dylan Randle and Lillian J. Ratliff},
 howpublished = {arxiv},
 title = {Sample-Efficient Reinforcement Learning for Policy Improvement via Flow-Reversed Action Anchors},
 year = {2026}
}

@inproceedings{gonzales2026strategically,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2603.09208},
 author = {Jake Gonzales and Max Horwitz and Eric Mazumdar and Lillian J Ratliff},
 booktitle = {Reinforcement Learning Conference},
 eprint = {2603.09208},
 pdf = {https://arxiv.org/pdf/2603.09208},
 title = {{Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation}},
 url = {https://arxiv.org/abs/2603.09208},
 year = {2026}
}

@misc{horwitz2026structure,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2605.09946},
 author = {Max Horwitz and Jake Gonzales and Eric Mazumdar and Lillian J Ratliff},
 eprint = {2605.09946},
 pdf = {https://arxiv.org/pdf/2605.09946},
 title = {{Structure from Strategic Interaction \& Uncertainty: Risk Sensitive Games for Robust Preference Learning}},
 url = {https://arxiv.org/abs/2605.09946},
 year = {2026}
}

@inproceedings{chen2026topreward,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2602.19313},
 author = {Shirui Chen and Cole Harrison and Ying-Chun Lee and Angela Jin Yang and Zhongzheng Ren and Lillian J Ratliff and Jiafei Duan and Dieter Fox and Ranjay Krishna},
 booktitle = {Conference on Robot Learning},
 eprint = {2602.19313},
 pdf = {https://arxiv.org/pdf/2602.19313},
 title = {{Topreward: Token probabilities as hidden zero-shot rewards for robotics}},
 url = {https://arxiv.org/abs/2602.19313},
 year = {2026}
}

@inproceedings{yermakov2025a,
 author = {Alexey Yermakov and Kyongsik Yun and Lillian Ratliff and J Nathan Kutz},
 booktitle = {Proceedings of International Conference on Space Operations},
 pdf = {https://www.researchgate.net/profile/Kyongsik-Yun/publication/392554232_A_Transformer-Based_Deep_Learning_Approach_to_Anomaly_Detection_of_High-Bandwidth_Multivariate_Time-Series_Satellite_Communications/links/68484bb0d1054b0207fb4560/A-Transformer-Based-Deep-Learning-Approach-to-Anomaly-Detection-of-High-Bandwidth-Multivariate-Time-Series-Satellite-Communications.pdf},
 title = {{A Transformer-Based Deep Learning Approach to Anomaly Detection of High-Bandwidth Multivariate Time-Series Satellite Communications}},
 url = {https://www.researchgate.net/profile/Kyongsik-Yun/publication/392554232_A_Transformer-Based_Deep_Learning_Approach_to_Anomaly_Detection_of_High-Bandwidth_Multivariate_Time-Series_Satellite_Communications/links/68484bb0d1054b0207fb4560/A-Transformer-Based-Deep-Learning-Approach-to-Anomaly-Detection-of-High-Bandwidth-Multivariate-Time-Series-Satellite-Communications.pdf},
 year = {2025}
}

@misc{maiti2025efficient,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2504.00461},
 author = {Arnab Maiti and Zhiyuan Fan and Kevin Jamieson and Lillian J Ratliff and Gabriele Farina},
 eprint = {2504.00461},
 pdf = {https://arxiv.org/pdf/2504.00461},
 title = {{Efficient near-optimal algorithm for online shortest paths in directed acyclic graphs with bandit feedback against adaptive adversaries}},
 url = {https://arxiv.org/abs/2504.00461},
 year = {2025}
}

@inproceedings{frankel2025finitetime,
 author = {Eric Frankel and Kshitij Kulkarni and Dmitriy Drusvyatskiy and Sewoong Oh and Lillian J Ratliff},
 booktitle = {ICML},
 pdf = {https://openreview.net/pdf?id=q6aopfT2d5},
 title = {{Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents.}},
 url = {https://openreview.net/pdf?id=q6aopfT2d5},
 year = {2025}
}

@article{ray2025function,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2012.12457},
 author = {Mitas Ray and Omid Sadeghi and Lillian J Ratliff and Maryam Fazel},
 doi = {10.1287/ijoo.2021.0012},
 eprint = {2012.12457},
 journal = {INFORMS Journal on Optimization},
 number = {1},
 pages = {20--37},
 pdf = {https://par.nsf.gov/servlets/purl/10569705},
 publisher = {INFORMS},
 title = {{Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs}},
 url = {https://pubsonline.informs.org/doi/abs/10.1287/ijoo.2021.0012},
 volume = {7},
 year = {2025}
}

@article{chasnov2025human,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2305.01124},
 author = {Benjamin J Chasnov and Lillian J Ratliff and Samuel A Burden},
 eprint = {2305.01124},
 journal = {Scientific reports},
 number = {1},
 pages = {29364},
 pdf = {https://www.nature.com/articles/s41598-025-12998-1},
 publisher = {Nature Publishing Group UK},
 title = {{Human adaptation to adaptive machines converges to game-theoretic equilibria}},
 url = {https://www.nature.com/articles/s41598-025-12998-1},
 volume = {15},
 year = {2025}
}

@inproceedings{liu2026improved,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2505.18828},
 author = {Liu, Junyan and Chen, Ziyun and Wang, Kun and Luo, Haipeng and Ratliff, Lillian},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/085713-1561},
 editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
 eprint = {2505.18828},
 pages = {46877--46914},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2025/file/42f51aab8dce4caeb5ad01c443d5dafa-Paper-Conference.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Improved Regret and Contextual Linear Extension for Pandora\textquotesingle s Box and Prophet Inequality}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/42f51aab8dce4caeb5ad01c443d5dafa-Paper-Conference.pdf},
 volume = {38, Main Conference},
 year = {2025}
}

@misc{yermakov2025undatedlatent,
 author = {Alexey Yermakov and Lillian J Ratliff and J Nathan Kutz},
 howpublished = {Neurips Workshop ML4PS},
 pdf = {https://ml4physicalsciences.github.io/2025/files/NeurIPS_ML4PS_2025_92.pdf},
 title = {{Latent Nonlinear Wave Dynamics in Image Datasets and Autoencoder Reconstructions}},
 url = {https://ml4physicalsciences.github.io/2025/files/NeurIPS_ML4PS_2025_92.pdf},
 year = {2025}
}

@inproceedings{liu2025learning,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2505.23124},
 author = {Junyan Liu and Arnab Maiti and Artin Tajdini and Kevin Jamieson and Lillian J Ratliff},
 booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
 eprint = {2505.23124},
 pdf = {https://arxiv.org/pdf/2505.23124},
 title = {{Learning to incentivize in repeated principal-agent problems with adversarial agent arrivals}},
 url = {https://openreview.net/forum?id=4JyULSyPl6},
 year = {2025}
}

@misc{conger2025monotone,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2506.22947},
 author = {Lauren Conger and Franca Hoffmann and Eric Mazumdar and Lillian J Ratliff},
 eprint = {2506.22947},
 pdf = {https://arxiv.org/pdf/2506.22947},
 title = {{Monotone Multispecies Flows}},
 url = {https://arxiv.org/abs/2506.22947},
 year = {2025}
}

@inproceedings{fan2026on,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2510.17099},
 author = {Fan, Zhiyuan and Maiti, Arnab and Ratliff, Lillian and Jamieson, Kevin and Farina, Gabriele},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/085713-5734},
 editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
 eprint = {2510.17099},
 pages = {172340--172374},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2025/file/fb3ad59a84799bfb8d700e56d19c231b-Paper-Conference.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{On the Universal Near Optimality of Hedge in Combinatorial Settings}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/fb3ad59a84799bfb8d700e56d19c231b-Paper-Conference.pdf},
 volume = {38, Main Conference},
 year = {2025}
}

@inproceedings{maiti2025on,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2306.13233},
 author = {Arnab Maiti and Kevin Jamieson and Lillian J Ratliff},
 booktitle = {International Symposium on Algorithmic Game Theory},
 doi = {10.1007/978-3-032-03639-1_1},
 eprint = {2306.13233},
 pages = {3--20},
 pdf = {https://arxiv.org/pdf/2306.13233},
 publisher = {Springer Nature Switzerland},
 title = {{On the limitations and possibilities of Nash regret minimization in zero-sum matrix games under noisy feedback}},
 url = {https://link.springer.com/chapter/10.1007/978-3-032-03639-1_1},
 year = {2025}
}

@misc{chasnov2025optimal,
 author = {Benjamin Chasnov and Lillian Ratliff and Samuel A Burden and Amy Orsborn and Tanner Fiez and Manchali Maneeshika Madduri and Joseph G Sullivan and Momona YAMAGAMI},
 howpublished = {US patent application 18290707},
 title = {{Optimal data-driven decision-making in multi-agent systems}},
 url = {https://patents.google.com/patent/US20250094855A1/en},
 year = {2025}
}

@inproceedings{liu2024principalagent,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2412.16318},
 author = {Junyan Liu and Lillian J Ratliff},
 booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
 eprint = {2412.16318},
 month = {13--19 Jul},
 pages = {39318--39365},
 pdf = {https://raw.githubusercontent.com/mlresearch/v267/main/assets/liu25bf/liu25bf.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Principal-agent bandit games with self-interested and exploratory learning agents}},
 url = {https://proceedings.mlr.press/v267/liu25bf.html},
 volume = {267},
 year = {2025}
}

@article{maiti2025queryefficient,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2310.16236},
 author = {Arnab Maiti and Ross Boczar and Kevin Jamieson and Lillian Ratliff},
 doi = {10.1145/3732787},
 eprint = {2310.16236},
 journal = {ACM Transactions on Economics and Computation},
 number = {3},
 pages = {1--18},
 pdf = {https://dl.acm.org/doi/full/10.1145/3732787},
 publisher = {ACM},
 title = {{Query-efficient algorithm to find all nash equilibria in a two-player zero-sum matrix game}},
 url = {https://dl.acm.org/doi/abs/10.1145/3732787},
 volume = {13},
 year = {2025}
}

@inproceedings{frankel2025s4s,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2502.17423},
 author = {Frankel, Eric and Chen, Sitan and Li, Jerry and Koh, Pang Wei and Ratliff, Lillian J. and Oh, Sewoong},
 booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
 editor = {Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry},
 eprint = {2502.17423},
 month = {13--19 Jul},
 pages = {17542--17574},
 pdf = {https://raw.githubusercontent.com/mlresearch/v267/main/assets/frankel25a/frankel25a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{S}4{S}: Solving for a Fast Diffusion Model Solver},
 url = {https://proceedings.mlr.press/v267/frankel25a.html},
 volume = {267},
 year = {2025}
}

@inproceedings{gonzales2025safe,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2603.10392},
 author = {Jake Gonzales and Kazuki Mizuta and Karen Leung and Lillian J Ratliff},
 booktitle = {2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 eprint = {2603.10392},
 pages = {18676--18683},
 pdf = {https://arxiv.org/pdf/2603.10392},
 publisher = {IEEE},
 title = {{Safe Probabilistic Planning for Human-Robot Interaction using Conformal Risk Control}},
 url = {https://ieeexplore.ieee.org/abstract/document/11247339/},
 year = {2025}
}

@misc{chen2025dultra,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2512.21446},
 author = {Shirui Chen and Jiantao Jiao and Lillian J Ratliff and Banghua Zhu},
 eprint = {2512.21446},
 pdf = {https://arxiv.org/pdf/2512.21446},
 title = {{dultra: Ultra-fast diffusion language models via reinforcement learning}},
 url = {https://arxiv.org/abs/2512.21446},
 year = {2025}
}

@inproceedings{frankel2024conformal,
 author = {Eric Frankel and Shuyue Stella Li and Lillian J. Ratliff and Yulia Tsvetkov and Sewoong Oh and Pang Wei Koh},
 booktitle = {NeurIPS 2024 Workshop on Statistical Frontiers in LLMs and Foundation Models},
 pdf = {https://openreview.net/pdf?id=IuxdNlVywb},
 title = {{Conformal Reasoning: Uncertainty Estimation in Interactive Environments}},
 url = {https://openreview.net/forum?id=IuxdNlVywb},
 year = {2024}
}

@inproceedings{conger2024coupled,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2411.07403},
 author = {Lauren Conger and Franca Hoffmann and Eric Mazumdar and Lillian J Ratliff},
 booktitle = {Advances in Neural Information Processing Systems},
 eprint = {2411.07403},
 pdf = {https://arxiv.org/pdf/2411.07403},
 title = {{Coupled Wasserstein gradient flows for min-max and cooperative games}},
 url = {https://arxiv.org/abs/2411.07403},
 year = {2024}
}

@misc{zhang2024distributionfree,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2403.01072},
 author = {Heling Zhang and Lillian J Ratliff and Roy Dong},
 eprint = {2403.01072},
 pdf = {https://arxiv.org/pdf/2403.01072},
 title = {{Distribution-free guarantees for systems with decision-dependent noise}},
 url = {https://arxiv.org/abs/2403.01072},
 year = {2024}
}

@misc{isa2024effect,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2408.14640},
 author = {Jason T Isa and Bohan Wu and Qirui Wang and Yilin Zhang and Samuel A Burden and Lillian J Ratliff and Benjamin J Chasnov},
 eprint = {2408.14640},
 pdf = {https://arxiv.org/pdf/2408.14640},
 title = {{Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game}},
 url = {https://arxiv.org/abs/2408.14640},
 year = {2024}
}

@inproceedings{narang2024efficient,
 author = {Adhyyan Narang and Omid Sadeghi and Lillian J Ratliff and Maryam Fazel and Jeff A Bilmes},
 booktitle = {UAI},
 pages = {2670--2699},
 pdf = {https://openreview.net/pdf?id=qYXL8ClMnP},
 title = {{Efficient Interactive Maximization of BP and Weakly Submodular Objectives.}},
 url = {https://openreview.net/pdf?id=qYXL8ClMnP},
 year = {2024}
}

@inproceedings{dean2024emergent,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2206.02667},
 author = {Dean, Sarah and Curmei, Mihaela and Ratliff, Lillian and Morgenstern, Jamie and Fazel, Maryam},
 booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
 editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen},
 eprint = {2206.02667},
 month = {02--04 May},
 pages = {343--351},
 pdf = {https://proceedings.mlr.press/v238/dean24a/dean24a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Emergent specialization from participation dynamics and multi-learner retraining}},
 url = {https://proceedings.mlr.press/v238/dean24a.html},
 volume = {238},
 year = {2024}
}

@inproceedings{maheshwari2024follower,
 author = {Chinmay Maheshwari and James Cheng and Shankar Sastry and Lillian Ratliff and Eric Mazumdar},
 booktitle = {2024 IEEE 63rd Conference on Decision and Control (CDC)},
 pages = {222--228},
 pdf = {https://par.nsf.gov/servlets/purl/10575537},
 publisher = {IEEE},
 title = {{Follower agnostic learning in stackelberg games}},
 url = {https://ieeexplore.ieee.org/abstract/document/10885984/},
 year = {2024}
}

@inproceedings{bose2024initializing,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2312.11846},
 author = {Bose, Avinandan and Curmei, Mihaela and Jiang, Daniel L. and Morgenstern, Jamie and Dean, Sarah and Ratliff, Lillian and Fazel, Maryam},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/079017-1840},
 editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
 eprint = {2312.11846},
 pages = {57701--57732},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2024/file/6a1e959d76d9974caa46ced84b4cd6c1-Paper-Conference.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Initializing Services in Interactive ML Systems for Diverse Users}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/6a1e959d76d9974caa46ced84b4cd6c1-Paper-Conference.pdf},
 volume = {37},
 year = {2024}
}

@inproceedings{das2024learning,
 author = {Pranoy Das and Benita Nortmann and Lillian J Ratliff and Vijay Gupta and Thulasi Mylvaganam},
 booktitle = {2024 American Control Conference (ACC)},
 pages = {3557--3562},
 pdf = {https://par.nsf.gov/servlets/purl/10584394},
 publisher = {IEEE},
 title = {{Learning in stochastic stackelberg games}},
 url = {https://ieeexplore.ieee.org/abstract/document/10644265/},
 year = {2024}
}

@inproceedings{maiti2024nearoptimal,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2310.16252},
 author = {Maiti, Arnab and Boczar, Ross and Jamieson, Kevin and Ratliff, Lillian},
 booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
 editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen},
 eprint = {2310.16252},
 month = {02--04 May},
 pages = {2602--2610},
 pdf = {https://proceedings.mlr.press/v238/maiti24a/maiti24a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits}},
 url = {https://proceedings.mlr.press/v238/maiti24a.html},
 volume = {238},
 year = {2024}
}

@inproceedings{narang2024sample,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2406.06856},
 author = {Narang, Adhyyan and Wagenmaker, Andrew and Ratliff, Lillian and Jamieson, Kevin},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/079017-0717},
 editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
 eprint = {2406.06856},
 pages = {22772--22826},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2024/file/28795419a644f41ede3fa058b13fc622-Paper-Conference.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/28795419a644f41ede3fa058b13fc622-Paper-Conference.pdf},
 volume = {37},
 year = {2024}
}

@article{li2023adaptive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1907.08912},
 author = {Sarah HQ Li and Yue Yu and Nicolas I Miguel and Dan Calderone and Lillian J Ratliff and Beh{\c c}et A{\c c}{\i}kme{\c s}e},
 eprint = {1907.08912},
 journal = {Automatica},
 pages = {110879},
 pdf = {https://arxiv.org/pdf/1907.08912},
 publisher = {Pergamon},
 title = {{Adaptive constraint satisfaction for markov decision process congestion games: Application to transportation networks}},
 url = {https://www.sciencedirect.com/science/article/pii/S0005109823000298},
 volume = {151},
 year = {2023}
}

@inproceedings{dong2023approximate,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2107.00055},
 author = {Dong, Roy and Zhang, Heling and Ratliff, Lillian},
 booktitle = {Proceedings of The 26th International Conference on Artificial Intelligence and Statistics},
 editor = {Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem},
 eprint = {2107.00055},
 month = {25--27 Apr},
 pages = {11172--11184},
 pdf = {https://proceedings.mlr.press/v206/dong23b/dong23b.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Approximate Regions of Attraction in Learning with Decision-Dependent Distributions}},
 url = {https://proceedings.mlr.press/v206/dong23b.html},
 volume = {206},
 year = {2023}
}

@article{calderone2023consistent,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2305.11866},
 author = {Daniel J Calderone and Benjamin J Chasnov and Samuel A Burden and Lillian J Ratliff},
 eprint = {2305.11866},
 journal = {IEEE Control Systems Letters},
 pages = {2743--2748},
 pdf = {https://arxiv.org/pdf/2305.11866},
 publisher = {IEEE},
 title = {{Consistent conjectural variations equilibria: Characterization and stability for a class of continuous games}},
 url = {https://ieeexplore.ieee.org/abstract/document/10163400/},
 volume = {7},
 year = {2023}
}

@misc{alleyne2023control,
 author = {Andrew Alleyne and Frank Allg{\"o}wer and Aaron D Ames and Saurabh Amin and James Anderson and Anuradha M Annaswamy and Panos J Antsaklis and Neda Bagheri and Hamsa Balakrishnan and Bassam Bamieh and John Baras and Margret Bauer and Alexandre Bayen and Paul Bogdan and Steven L Brunton and Francesco Bullo and Etienne Burdet and Joel Burdick and Laurent Burlion and C Canudas de Wit and Ming Cao and Christos G Cassandras and Aranya Chakrabortty and Giacomo Como and Marie Csete and Fabrizio Dabbene and Munther Dahleh and Amritam Das and Eyal Dassau and Claudio De Persis and Mario di Bernardo and Stefano Di Cairano and DV Dimarogonas and Florian D{\"o}rfler and John C Doyle and Francis J Doyle III and Anca Dragan and Magnus Egerstedt and Johan Eker and Sarah Fay and Dimitar Filev and Angela Fontan and Elisa Franco and Masayuki Fujita and Mario Garcia-Sanz and Dennice Gayme and WPMH Heemels and Jo{\~a}o P Hespanha and Sandra Hirche and Anette Hosoi and Jonathan P How and Gabriela Hug and Marija Ili{\'c} and Hideaki Ishii and Ali Jadbabaie and Matin Jafarian and SQ-S Jia and TA Johansen and Karl H Johansson and Dalton Jones and Mustafa Khammash and Pramod Khargonekar and Mykel J Kochenderfer and Andreas Krause and Anthony Kuh and Dana Kuli{\'c} and Fran{\c c}oise Lamnabhi-Lagarrigue and Naomi E Leonard and Frederick Leve and Na Li and Steven Low and John Lygeros and Iven Mareels and Sonia Martinez and Nikolai Matni and Tommaso Menara and Katja Mombaur and Kevin Moore and Richard Murray and Toru Namerikawa and Angelia Nedich and Sandeep Neema and Mariana Netto and Timothy O'Leary and Marcia K O'Malley and Lucy Y Pao and Antonis Papachristodoulou and George J Pappas and Philip E Par{\'e} and Thomas Parisini and Fabio Pasqualetti and Marco Pavone and Akshay Rajhans and Gireeja Ranade and Anders Rantzer and Lillian Ratliff and J Anthony Rossiter and Dorsa Sadigh and Tariq Samad and Henrik Sandberg and Sri Sarma and Luca Schenato and Jacquelien Scherpen and Angela Schoellig and Rodolphe Sepulchre and Jeff Shamma and Robert Shorten and Bruno Sinopoli and Koushil Sreenath and Jakob Stoustrup and Jing Sun and Paulo Tabuada and Emma Tegling and Dawn Tilbury and Claire J Tomlin and Jana Tumova and Kevin Wise and Dan Work and Junaid Zafar and Melanie Zeilinger},
 publisher = {IEEE Control Systems Society Publication},
 title = {{Control for Societal-Scale Challenges: Roadmap 2030}},
 url = {https://eprints.whiterose.ac.uk/id/eprint/197454/},
 year = {2023}
}

@misc{maheshwari2023convergent,
 arxiv = {https://arxiv.org/abs/2302.01421},
 arxiv_relation = {related version},
 author = {Chinmay Maheshwari and S Shankar Sasty and Lillian Ratliff and Eric Mazumdar},
 title = {{Convergent first-order methods for bi-level optimization and stackelberg games}},
 url = {https://authors.library.caltech.edu/records/445x7-d7434},
 year = {2023}
}

@misc{dean2023emergent,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2206.02667},
 author = {Sarah Dean and Mihaela Curmei and Lillian J Ratliff and Jamie Morgenstern and Maryam Fazel},
 eprint = {2206.02667},
 title = {{Emergent segmentation from participation dynamics and multi-learner retraining}},
 url = {https://arxiv.org/abs/2206.02667},
 year = {2023}
}

@misc{maheshwari2023follower,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2302.01421},
 author = {Chinmay Maheshwari and James Cheng and S Shankar Sasty and Lillian Ratliff and Eric Mazumdar},
 eprint = {2302.01421},
 pdf = {https://arxiv.org/pdf/2302.01421},
 title = {{Follower agnostic methods for stackelberg games}},
 url = {https://arxiv.org/abs/2302.01421},
 year = {2023}
}

@misc{chasnovundatedhuman,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/pdf/2305.01124},
 author = {Benjamin J Chasnov and Lillian J Ratliff and Samuel A Burden},
 eprint = {2305.01124},
 howpublished = {arxiv preprint},
 pdf = {https://arxiv.org/pdf/2305.01124},
 title = {{Human adaptation to adaptive machines converges to game-theoretic equilibria }},
 url = {https://arxiv.org/abs/2305.01124},
 year = {2023}
}

@inproceedings{maiti2023instancedependent,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2303.10565},
 author = {Maiti, Arnab and Jamieson, Kevin and Ratliff, Lillian},
 booktitle = {Proceedings of The 26th International Conference on Artificial Intelligence and Statistics},
 editor = {Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem},
 eprint = {2303.10565},
 month = {25--27 Apr},
 pages = {9429--9469},
 pdf = {https://proceedings.mlr.press/v206/maiti23a/maiti23a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games}},
 url = {https://proceedings.mlr.press/v206/maiti23a.html},
 volume = {206},
 year = {2023}
}

@article{narang2023jmlr,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2201.03398},
 author = {Adhyyan Narang and Evan Faulkner and Dmitriy Drusvyatskiy and Maryam Fazel and Lillian J. Ratliff},
 eprint = {2201.03398},
 journal = {Journal of Machine Learning Research},
 number = {202},
 pages = {1--56},
 pdf = {https://www.jmlr.org/papers/volume24/22-0131/22-0131.pdf},
 title = {{Multiplayer Performative Prediction: Learning in Decision-Dependent Games}},
 url = {http://jmlr.org/papers/v24/22-0131.html},
 volume = {24},
 year = {2023}
}

@misc{maiti2023queryefficient,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2310.16236},
 author = {Arnab Maiti and Ross Boczar and Kevin Jamieson and Lillian J Ratliff},
 eprint = {2310.16236},
 title = {{Query-efficient algorithms to find the unique nash equilibrium in a two-player zero-sum matrix game}},
 url = {https://arxiv.org/abs/2310.16236},
 year = {2023}
}

@misc{kumar2023reinforcement,
 author = {Peeyush Kumar and Hui Qing LI and Vaishnavi NATTAR RANGANATHAN and Lillian Jane RATLIFF and Ranveer Chandra and Vishal Jain and Michael McNab BASSANI and Jeremy Randall REYNOLDS},
 howpublished = {US patent application 17457874},
 pdf = {https://patentimages.storage.googleapis.com/da/c8/36/9ab952ab74b362/US20230129665A1.pdf},
 title = {{Reinforcement learning simulation of supply chain graph}},
 url = {https://patents.google.com/patent/US20230129665A1/en},
 year = {2023}
}

@misc{yang2023stackelberg,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2305.03735},
 author = {Boling Yang and Liyuan Zheng and Lillian J Ratliff and Byron Boots and Joshua R Smith},
 eprint = {2305.03735},
 pdf = {https://arxiv.org/pdf/2305.03735},
 title = {{Stackelberg games for learning emergent behaviors during competitive autocurricula}},
 url = {https://arxiv.org/abs/2305.03735},
 year = {2023}
}

@inproceedings{conger2023strategic,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2307.01166},
 author = {Conger, Lauren and Hoffmann, Franca and Mazumdar, Eric and Ratliff, Lillian},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/075280-1993},
 editor = {A. Oh and T. Naumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
 eprint = {2307.01166},
 pages = {45971--46006},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2023/file/902c462e821e5e639ac3422b48b65932-Paper-Conference.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/902c462e821e5e639ac3422b48b65932-Paper-Conference.pdf},
 volume = {36},
 year = {2023}
}

@inproceedings{maheshwari2022zerothorder,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2106.09082},
 author = {Maheshwari, Chinmay and Chiu, Chih-Yuan and Mazumdar, Eric and Sastry, Shankar and Ratliff, Lillian},
 booktitle = {Proceedings of The 25th International Conference on Artificial Intelligence and Statistics},
 editor = {Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel},
 eprint = {2106.09082},
 month = {28--30 Mar},
 pages = {6702--6734},
 pdf = {https://proceedings.mlr.press/v151/maheshwari22a/maheshwari22a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{ Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization }},
 url = {https://proceedings.mlr.press/v151/maheshwari22a.html},
 volume = {151},
 year = {2022}
}

@inproceedings{ray2022decisiondependent,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2204.08281},
 author = {Mitas Ray and Lillian J Ratliff and Dmitriy Drusvyatskiy and Maryam Fazel},
 booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
 eprint = {2204.08281},
 number = {7},
 pages = {8081--8088},
 pdf = {https://ojs.aaai.org/index.php/AAAI/article/view/20780/20539},
 title = {{Decision-dependent risk minimization in geometrically decaying dynamic environments}},
 url = {https://ojs.aaai.org/index.php/AAAI/article/view/20780},
 volume = {36},
 year = {2022}
}

@inproceedings{piliouras2022fast,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2207.08426},
 author = {Georgios Piliouras and Lillian Ratliff and Ryann Sim and Stratis Skoulakis},
 booktitle = {International Symposium on Algorithmic Game Theory},
 doi = {10.1007/978-3-031-15714-1_22},
 eprint = {2207.08426},
 pages = {383--399},
 pdf = {https://arxiv.org/pdf/2207.08426},
 publisher = {Springer International Publishing},
 title = {{Fast convergence of optimistic gradient ascent in network zero-sum extensive form games}},
 url = {https://link.springer.com/chapter/10.1007/978-3-031-15714-1_22},
 year = {2022}
}

@misc{li2022general,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2205.02760},
 author = {Sarah HQ Li and Lillian J Ratliff and Peeyush Kumar},
 eprint = {2205.02760},
 pdf = {https://arxiv.org/pdf/2205.02760},
 title = {{General sum stochastic games with networked information flows}},
 url = {https://arxiv.org/abs/2205.02760},
 year = {2022}
}

@inproceedings{li2022instanceoptimal,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2207.02357},
 author = {Li, Zhaoqi and Ratliff, Lillian and nassif, houssam and Jamieson, Kevin and Jain, Lalit},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/068431-2725},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 eprint = {2207.02357},
 pages = {37590--37603},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2022/file/f4821075019a058700f6e6738eea1365-Paper-Conference.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Instance-optimal PAC Algorithms for Contextual Bandits}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/f4821075019a058700f6e6738eea1365-Paper-Conference.pdf},
 volume = {35},
 year = {2022}
}

@misc{narang2022interactive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2207.03091},
 author = {Adhyyan Narang and Omid Sadeghi and Lillian J Ratliff and Maryam Fazel and Jeff Bilmes},
 eprint = {2207.03091},
 title = {{Interactive combinatorial bandits: Balancing competitivity and complementarity}},
 url = {https://arxiv.org/abs/2207.03091},
 year = {2022}
}

@article{maiti2022logarithmic,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2306.13233},
 author = {Arnab Maiti and Kevin Jamieson and Lillian J Ratliff},
 eprint = {2306.13233},
 journal = {Proceedings of Machine Learning Research},
 pdf = {https://par.nsf.gov/servlets/purl/10435700},
 title = {{Logarithmic regret for matrix games against an adversary with noisy bandit feedback}},
 url = {https://par.nsf.gov/servlets/purl/10435700},
 volume = {151},
 year = {2022}
}

@inproceedings{fiez2021minimax,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2106.01488},
 author = {Tanner Fiez and Chi Jin and Praneeth Netrapalli and Lillian J Ratliff},
 booktitle = {Proceedings of the International Conference on Learning Representation},
 eprint = {2106.01488},
 pdf = {https://arxiv.org/pdf/2106.01488},
 title = {{Minimax optimization with smooth algorithmic adversaries}},
 url = {https://arxiv.org/abs/2106.01488},
 year = {2022}
}

@inproceedings{dean2022multilearner,
 arxiv = {https://arxiv.org/pdf/2206.02667},
 author = {Sarah Dean and Mihaela Curmei and Lillian J Ratliff and Jamie Morgenstern and Maryam Fazel},
 booktitle = {Proceedings of Conference on Neural Information Processing Systems},
 pdf = {https://par.nsf.gov/servlets/purl/10334310},
 title = {{Multi-learner risk reduction under endogenous participation dynamics}},
 url = {https://arxiv.org/pdf/2206.02667},
 year = {2022}
}

@inproceedings{narang2022online,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2207.03091},
 author = {Adhyyan Narang and Omid Sadeghi and Lillian J Ratliff and Maryam Fazel and Jeff Bilmes},
 booktitle = {Proceedings of the Conference on Uncertainty in Artificial Intelligence},
 eprint = {2207.03091},
 pdf = {https://arxiv.org/pdf/2207.03091},
 title = {{Online submodular+ supermodular (bp) maximization with bandit feedback}},
 url = {https://arxiv.org/abs/2207.03091},
 year = {2022}
}

@inproceedings{yang2022stackelberg,
 arxiv = {https://arxiv.org/abs/2305.03735},
 author = {Boling Yang and Liyuan Zheng and Lillian J Ratliff and Byron Boots and Joshua R Smith},
 booktitle = {IEEE International Conference on Robotics and Automation},
 pages = {1--10},
 pdf = {https://arxiv.org/abs/2305.03735},
 title = {{Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula }},
 url = {https://arxiv.org/abs/2305.03735},
 year = {2022}
}

@inproceedings{vu2022stackelberg,
 author = {Quoc-Liem Vu and Zane Alumbaugh and Ryan Ching and Quanchen Ding and Arnav Mahajan and Benjamin Chasnov and Sam Burden and Lillian J Ratliff},
 booktitle = {ICLR 2022 Workshop on Gamification and Multiagent Solutions},
 pdf = {https://openreview.net/pdf?id=SWltj9k6e5},
 title = {{Stackelberg policy gradient: Evaluating the performance of leaders and followers}},
 url = {https://openreview.net/forum?id=SWltj9k6e5},
 year = {2022}
}

@article{yu2022variable,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1901.08731},
 author = {Yue Yu and Dan Calderone and Sarah HQ Li and Lillian J Ratliff and Beh{\c c}et A{\c c}{\i}kme{\c s}e},
 eprint = {1901.08731},
 journal = {Automatica},
 pages = {110224},
 pdf = {https://www.sciencedirect.com/science/article/am/pii/S0005109822000693},
 publisher = {Pergamon},
 title = {{Variable demand and multi-commodity flow in Markovian network equilibrium}},
 url = {https://www.sciencedirect.com/science/article/pii/S0005109822000693},
 volume = {140},
 year = {2022}
}

@inproceedings{skoulakis2021evolutionary,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2012.08382},
 author = {Stratis Skoulakis and Tanner Fiez and Ryann Sim and Georgios Piliouras and Lillian Ratliff},
 booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
 eprint = {2012.08382},
 number = {13},
 pages = {11343--11351},
 pdf = {https://ojs.aaai.org/index.php/AAAI/article/download/17352/17159},
 title = {{Evolutionary game theory squared: Evolving agents in endogenously evolving zero-sum games}},
 url = {https://ojs.aaai.org/index.php/AAAI/article/view/17352},
 volume = {35},
 year = {2021}
}

@inproceedings{fiez2021global,
 author = {Fiez, Tanner and Ratliff, Lillian and Mazumdar, Eric and Faulkner, Evan and Narang, Adhyyan},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
 pages = {29049--29063},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2021/file/f3507289cfdc8c9ae93f4098111a13f9-Paper.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/f3507289cfdc8c9ae93f4098111a13f9-Paper.pdf},
 volume = {34},
 year = {2021}
}

@inproceedings{drusvyatskiy2021improved,
 author = {Dmitriy Drusvyatskiy and Lillian J Ratliff},
 booktitle = {IEEE Conference on Decision and Control},
 title = {{Improved rates for derivative free play in strongly monotone games}},
 url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LVPkbeYAAAAJ&pagesize=100&citation_for_view=LVPkbeYAAAAJ:J-pR_7NvFogC},
 year = {2021}
}

@inproceedings{fiez2021local,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2009.14820},
 author = {Tanner Fiez and Lillian J Ratliff},
 booktitle = {International Conference on Learning Representations},
 eprint = {2009.14820},
 pdf = {https://openreview.net/pdf?id=AWOSz_mMAPx},
 title = {{Local convergence analysis of gradient descent ascent with finite timescale separation}},
 url = {https://openreview.net/forum?id=AWOSz_mMAPx},
 year = {2021}
}

@inproceedings{fiez2021online,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2111.03377},
 author = {Fiez, Tanner and Sim, Ryann and Skoulakis, Stratis and Piliouras, Georgios and Ratliff, Lillian},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
 eprint = {2111.03377},
 pages = {10313--10325},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2021/file/55563844bcd4bba067fe86ac1f008c7e-Paper.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Online Learning in Periodic Zero-Sum Games}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/55563844bcd4bba067fe86ac1f008c7e-Paper.pdf},
 volume = {34},
 year = {2021}
}

@inproceedings{fiez2021onlinea,
 author = {Tanner Fiez and Ryann Sim and Stratis Skoulakis and Georgios Piliouras and Lillian Ratliff},
 booktitle = {Adaptive and Learning Agents Workshop},
 pdf = {https://ala2021.vub.ac.be/papers/ALA2021_paper_38.pdf},
 title = {{Online Learning in Periodic Zero-Sum Games: von Neumann vs Poincar{\'e}}},
 url = {https://ala2021.vub.ac.be/papers/ALA2021_paper_38.pdf},
 year = {2021}
}

@inproceedings{zheng2021safe,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2003.09488},
 author = {Zheng, Liyuan and Shi, Yuanyuan and Ratliff, Lillian J. and Zhang, Baosen},
 booktitle = {Proceedings of the 3rd Conference on Learning for Dynamics and Control},
 editor = {Jadbabaie, Ali and Lygeros, John and Pappas, George J. and A. Parrilo, Pablo and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie N.},
 eprint = {2003.09488},
 pages = {336--347},
 pdf = {http://proceedings.mlr.press/v144/zheng21a/zheng21a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks}},
 url = {https://proceedings.mlr.press/v144/zheng21a.html},
 volume = {144},
 year = {2021}
}

@inproceedings{zheng2021stackelberg,
 arxiv = {https://arxiv.org/abs/2109.12286},
 arxiv_relation = {expanded version},
 author = {Liyuan Zheng and Tanner Fiez and Zane Alumbaugh and Benjamin Chasnov and Lillian J Ratliff},
 booktitle = {AAAI Workshop on Reinforcement Learning and Games},
 pdf = {https://par.nsf.gov/servlets/purl/10290180},
 title = {{Stackelberg actor-critic: A game-theoretic perspective}},
 url = {https://par.nsf.gov/servlets/purl/10290180},
 year = {2021}
}

@misc{dong2021which,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2107.00055},
 author = {Roy Dong and Lillian J Ratliff},
 eprint = {2107.00055},
 pdf = {https://faculty.washington.edu/ratliffl/research/papers/2021DongRatliff_Echo.pdf},
 title = {{Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions}},
 url = {https://arxiv.org/abs/2107.00055},
 year = {2021}
}

@inproceedings{fiez2020a,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2007.07079},
 author = {Fiez, Tanner and Shah, Nihar and Ratliff, Lillian},
 booktitle = {Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI)},
 editor = {Peters, Jonas and Sontag, David},
 eprint = {2007.07079},
 month = {03--06 Aug},
 pages = {580--589},
 pdf = {http://proceedings.mlr.press/v124/fiez20a/fiez20a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{A SUPER* Algorithm to Optimize Paper Bidding in Peer Review}},
 url = {https://proceedings.mlr.press/v124/fiez20a.html},
 volume = {124},
 year = {2020}
}

@article{ratliff2020adaptive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1806.05749},
 author = {Lillian J Ratliff and Tanner Fiez},
 eprint = {1806.05749},
 journal = {IEEE Transactions on Automatic Control},
 number = {8},
 pages = {3871--3878},
 pdf = {https://arxiv.org/pdf/1806.05749},
 publisher = {IEEE},
 title = {{Adaptive incentive design}},
 url = {https://ieeexplore.ieee.org/abstract/document/9209172/},
 volume = {66},
 year = {2020}
}

@inproceedings{zheng2020constrained,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2001.09377},
 author = {Zheng, Liyuan and Ratliff, Lillian},
 booktitle = {Proceedings of the 2nd Conference on Learning for Dynamics and Control},
 editor = {Bayen, Alexandre M. and Jadbabaie, Ali and Pappas, George and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire and Zeilinger, Melanie},
 eprint = {2001.09377},
 month = {10--11 Jun},
 pages = {620--629},
 pdf = {http://proceedings.mlr.press/v120/zheng20a/zheng20a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Constrained Upper Confidence Reinforcement Learning}},
 url = {https://proceedings.mlr.press/v120/zheng20a.html},
 volume = {120},
 year = {2020}
}

@article{li2020disturbance,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2007.07228},
 author = {Sarah HQ Li and Lillian Ratliff and Beh{\c c}et A{\c c}{\i}kme{\c s}e},
 eprint = {2007.07228},
 journal = {IEEE Control Systems Letters},
 number = {1},
 pages = {223--228},
 pdf = {https://arxiv.org/pdf/2007.07228},
 publisher = {IEEE},
 title = {{Disturbance decoupling for gradient-based multi-agent learning with quadratic costs}},
 url = {https://ieeexplore.ieee.org/abstract/document/9112258/},
 volume = {5},
 year = {2020}
}

@inproceedings{fiez2020ICML,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1906.01217},
 author = {Fiez, Tanner and Chasnov, Benjamin and Ratliff, Lillian},
 booktitle = {Proceedings of the 37th International Conference on Machine Learning},
 editor = {III, Hal Daum{\'e} and Singh, Aarti},
 eprint = {1906.01217},
 month = {13--18 Jul},
 pages = {3133--3144},
 pdf = {http://proceedings.mlr.press/v119/fiez20a/fiez20a.pdf},
 publisher = {PMLR},
 series = {Proceedings of Machine Learning Research},
 title = {{Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study}},
 url = {https://proceedings.mlr.press/v119/fiez20a.html},
 volume = {119},
 year = {2020}
}

@article{ling2020koopman,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1902.11289},
 author = {Esther Ling and Liyuan Zheng and Lillian J Ratliff and Samuel Coogan},
 eprint = {1902.11289},
 journal = {IEEE Transactions on Intelligent Transportation Systems},
 number = {4},
 pages = {3214--3225},
 pdf = {https://arxiv.org/pdf/1902.11289},
 publisher = {IEEE},
 title = {{Koopman operator applications in signalized traffic systems}},
 url = {https://ieeexplore.ieee.org/abstract/document/9247454/},
 volume = {23},
 year = {2020}
}

@article{mazumdar2020SIAM,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1804.05464},
 author = {Eric Mazumdar and Lillian J Ratliff and S Shankar Sastry},
 doi = {10.1137/18M1231298},
 eprint = {1804.05464},
 journal = {SIAM Journal on Mathematics of Data Science},
 number = {1},
 pages = {103--131},
 pdf = {https://epubs.siam.org/doi/pdf/10.1137/18M1231298},
 publisher = {Society for Industrial and Applied Mathematics},
 title = {{On gradient-based learning in continuous games}},
 url = {https://epubs.siam.org/doi/abs/10.1137/18M1231298},
 volume = {2},
 year = {2020}
}

@inproceedings{chasnov2020opponent,
 author = {Benjamin Chasnov and Tanner Fiez and Lillian J Ratliff},
 booktitle = {Smooth Games Optimization and Machine Learning Workshop at NeurIPS 2020: Bridging Game Theory and Deep Learning},
 pdf = {https://par.nsf.gov/servlets/purl/10223358},
 title = {{Opponent anticipation via conjectural variations}},
 url = {https://par.nsf.gov/servlets/purl/10223358},
 year = {2020}
}

@inproceedings{mazumdar2020policy,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1907.03712},
 author = {Eric Mazumdar and Lillian J. Ratliff and Michael I. Jordan and S. Shankar Sastry},
 booktitle = {Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems},
 eprint = {1907.03712},
 pages = {860--868},
 pdf = {https://sgo-workshop.github.io/CameraReady2019/28.pdf},
 title = {{Policy Gradient in Linear Quadratic Dynamic Games Has No Convergence Guarantees}},
 url = {https://sgo-workshop.github.io/CameraReady2019/28.pdf},
 year = {2020}
}

@inproceedings{chasnov2020stability,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2011.03650},
 author = {Benjamin J Chasnov and Daniel Calderone and Beh{\c c}et A{\c c}{\i}kme{\c s}e and Samuel A Burden and Lillian J Ratliff},
 booktitle = {IEEE Conference on Decision and Control (CDC) and IEEE Letters for Control Systems Society (LCSS)},
 eprint = {2011.03650},
 pages = {3543--3548},
 pdf = {https://arxiv.org/pdf/2011.03650},
 publisher = {IEEE},
 title = {{Stability of gradient learning dynamics in continuous games: Scalar action spaces}},
 url = {https://ieeexplore.ieee.org/abstract/document/9304165/},
 year = {2020}
}

@misc{chasnov2020stabilitya,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2011.05562},
 author = {Benjamin J Chasnov and Daniel Calderone and Beh{\c c}et A{\c c}{\i}kme{\c s}e and Samuel A Burden and Lillian J Ratliff},
 eprint = {2011.05562},
 pdf = {https://arxiv.org/pdf/2011.05562},
 title = {{Stability of gradient learning dynamics in continuous games: Vector action spaces}},
 url = {https://arxiv.org/abs/2011.05562},
 year = {2020}
}

@article{ratliff2019a,
 author = {Lillian J Ratliff and Roy Dong and Shreyas Sekar and Tanner Fiez},
 doi = {10.1146/annurev-control-053018-023634},
 journal = {Annual Review of Control, Robotics, and Autonomous Systems},
 number = {1},
 pages = {305--338},
 pdf = {https://faculty.washington.edu/ratliffl/research/papers/ratliff2018.pdf},
 publisher = {Annual Reviews},
 title = {{A perspective on incentive design: Challenges and opportunities}},
 url = {https://www.annualreviews.org/content/journals/10.1146/annurev-control-053018-023634},
 volume = {2},
 year = {2019}
}

@misc{yu2019a,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1901.08731},
 author = {Yue Yu and Dan Calderone and SH Li and Lillian J Ratliff and Beh{\c c}et A{\c c}{\i}kme{\c s}e},
 eprint = {1901.08731},
 pdf = {https://www.researchgate.net/profile/Sarah-Li-25/publication/330672981_A_Primal-Dual_Approach_to_Markovian_Network_Optimization/links/5c88353a45851564fad9c3ff/A-Primal-Dual-Approach-to-Markovian-Network-Optimization.pdf},
 title = {{A primal-dual approach to markovian network optimization}},
 url = {https://arxiv.org/abs/1901.08731},
 year = {2019}
}

@inproceedings{fiez2019characterizing,
 author = {Tanner Fiez and Benjamin Chasnov and Lillian J Ratliff},
 booktitle = {Smooth Games Optimization and Machine Learning Workshop at NeurIPS 2019: BRIDGING GAME THEORY AND DEEP LEARNING},
 pdf = {https://par.nsf.gov/servlets/purl/10223367},
 title = {{Characterizing equilibria in stackelberg games}},
 url = {https://par.nsf.gov/servlets/purl/10223367},
 year = {2019}
}

@article{westenbroek2019competitive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1904.12768},
 author = {Tyler Westenbroek and Roy Dong and Lillian J Ratliff and S Shankar Sastry},
 eprint = {1904.12768},
 journal = {IEEE Transactions on Automatic Control},
 number = {4},
 pages = {1537--1551},
 pdf = {https://arxiv.org/pdf/1904.12768},
 publisher = {IEEE},
 title = {{Competitive statistical estimation with strategic data sources}},
 url = {https://ieeexplore.ieee.org/abstract/document/8734796/},
 volume = {65},
 year = {2019}
}

@inproceedings{chasnov2019convergence,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1906.00731},
 author = {Benjamin Chasnov and LJ Ratliff and Eric Mazumdar and Samuel Burden},
 booktitle = {Uncertainty in artificial intelligence},
 eprint = {1906.00731},
 pdf = {https://par.nsf.gov/servlets/purl/10165577},
 title = {{Convergence Guarantees for Gradient-Based Learning in Continuous Games.}},
 url = {https://par.nsf.gov/servlets/purl/10165577},
 year = {2019}
}

@inproceedings{talebi2019distributed,
 author = {Shahriar Talebi and Siavash Alemzadeh and Lillian J Ratliff and Mehran Mesbahi},
 booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
 pages = {5544--5549},
 pdf = {https://shahriarta.github.io/assets/papers_pdf/talebi2019distributed.pdf},
 publisher = {IEEE},
 title = {{Distributed learning in network games: A dual averaging approach}},
 url = {https://ieeexplore.ieee.org/abstract/document/9030002/},
 year = {2019}
}

@inproceedings{chasnov2019experiments,
 author = {Benjamin Chasnov and Momona Yamagami and Behnoosh Parsa and Lillian J Ratliff and Samuel A Burden},
 booktitle = {Micro-and Nanotechnology Sensors, Systems, and Applications XI},
 doi = {10.1117/12.2519258},
 pages = {344--352},
 pdf = {https://par.nsf.gov/servlets/purl/10111544},
 publisher = {SPIE},
 title = {{Experiments with sensorimotor games in dynamic human/machine interaction}},
 url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10982/109822A/Experiments-with-sensorimotor-games-in-dynamic-humanmachine-interaction/10.1117/12.2519258.short},
 volume = {10982},
 year = {2019}
}

@misc{chasnov2019finitetime,
 author = {Benjamin Chasnov and Lillian J Ratliff and Daniel Calderone and Eric Mazumdar and Samuel A Burden},
 pdf = {https://danjcalderone.github.io/papers/convergencelearninggames.pdf},
 publisher = {Mimeo},
 title = {{Finite-Time Convergence of Gradient-Based Learning in Continuous Games}},
 url = {https://danjcalderone.github.io/papers/convergencelearninggames.pdf},
 year = {2019}
}

@article{fiez2019gaussian,
 author = {Tanner Fiez and Lillian J Ratliff},
 journal = {IEEE Transactions on Intelligent Transportation Systems},
 number = {8},
 pages = {3571--3580},
 pdf = {https://par.nsf.gov/servlets/purl/10157084},
 publisher = {IEEE},
 title = {{Gaussian mixture models for parking demand data}},
 url = {https://ieeexplore.ieee.org/abstract/document/8842617/},
 volume = {21},
 year = {2019}
}

@misc{bu2019global,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1911.04672},
 author = {Jingjing Bu and Lillian J Ratliff and Mehran Mesbahi},
 eprint = {1911.04672},
 pdf = {https://arxiv.org/pdf/1911.04672},
 title = {{Global convergence of policy gradient for sequential zero-sum linear quadratic dynamic games}},
 url = {https://arxiv.org/abs/1911.04672},
 year = {2019}
}

@misc{chasnov2019gradient,
 author = {Benjamin Chasnov and Tanner Fiez and Lillian J Ratliff},
 title = {{Gradient conjectures for strategic multi-agent learning}},
 url = {https://scholar.google.com/scholar?cluster=16592323467258048389&hl=en&oi=scholarr},
 year = {2019}
}

@inproceedings{savas2019incentive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1903.07752},
 author = {Yagiz Savas and Vijay Gupta and Melkior Ornik and Lillian J Ratliff and Ufuk Topcu},
 booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
 eprint = {1903.07752},
 pages = {2251--2258},
 pdf = {https://arxiv.org/pdf/1903.07752},
 publisher = {IEEE},
 title = {{Incentive design for temporal logic objectives}},
 url = {https://ieeexplore.ieee.org/abstract/document/9029287/},
 year = {2019}
}

@article{ratliff2019inverse,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1703.09842},
 author = {Lillian J Ratliff and Eric Mazumdar},
 eprint = {1703.09842},
 journal = {IEEE Transactions on Automatic Control},
 number = {3},
 pages = {1256--1263},
 pdf = {https://arxiv.org/pdf/1703.09842},
 publisher = {IEEE},
 title = {{Inverse risk-sensitive reinforcement learning}},
 url = {https://ieeexplore.ieee.org/abstract/document/8754789/},
 volume = {65},
 year = {2019}
}

@inproceedings{mazumdar2019local,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/2002.01007},
 author = {Eric Mazumdar and Lillian J Ratliff},
 booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
 eprint = {2002.01007},
 pages = {6899--6904},
 pdf = {https://arxiv.org/pdf/2002.01007},
 publisher = {IEEE},
 title = {{Local nash equilibria are isolated, strict local nash equilibria in `almost all'zero-sum continuous games}},
 url = {https://ieeexplore.ieee.org/abstract/document/9030203/},
 year = {2019}
}

@inproceedings{samal2019mobilyticsgym,
 author = {Chinmaya Samal and Abhishek Dubey and Lillian Ratliff},
 booktitle = {2019 IEEE International Conference on Smart Computing (SMARTCOMP)},
 pages = {283--291},
 pdf = {https://par.nsf.gov/servlets/purl/10098816},
 publisher = {IEEE},
 title = {{Mobilytics-Gym: A simulation framework for analyzing urban mobility decision strategies}},
 url = {https://ieeexplore.ieee.org/abstract/document/8784079/},
 year = {2019}
}

@article{dowling2019modeling,
 author = {Chase P Dowling and Lillian J Ratliff and Baosen Zhang},
 journal = {IEEE Transactions on Intelligent Transportation Systems},
 number = {3},
 pages = {1011--1022},
 pdf = {https://drive.google.com/file/d/1mzGd1y5BrKnPpwuslfV8zpR-xym1Qv6Z/view},
 publisher = {IEEE},
 title = {{Modeling curbside parking as a network of finite capacity queues}},
 url = {https://ieeexplore.ieee.org/abstract/document/8663628/},
 volume = {21},
 year = {2019}
}

@inproceedings{calderone2019multidimensional,
 author = {Dan Calderone and Lillian J Ratliff},
 booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
 pages = {5138--5143},
 publisher = {IEEE},
 title = {{Multi-dimensional continuous type population potential games}},
 url = {https://ieeexplore.ieee.org/abstract/document/9029519/},
 year = {2019}
}

@misc{li2019online,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1907.08912},
 author = {Sarah HQ Li and Yue Yu and Dan Calderone and Lillian J Ratliff and Behcet Acikmese},
 eprint = {1907.08912},
 title = {{Online Constraint Satisfaction via Tolls in MDP Congestion Games}},
 url = {https://arxiv.org/abs/1907.08912},
 year = {2019}
}

@inproceedings{li2019sensitivity,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1909.04167},
 author = {Sarah HQ Li and Daniel Calderone and Lillian Ratliff and Beh{\c c}et A{\c c}{\i}kme{\c s}e},
 booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
 eprint = {1909.04167},
 pages = {1301--1306},
 pdf = {https://arxiv.org/pdf/1909.04167},
 publisher = {IEEE},
 title = {{Sensitivity analysis for markov decision process congestion games}},
 url = {https://ieeexplore.ieee.org/abstract/document/9028933/},
 year = {2019}
}

@inproceedings{fiez2019neurips,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1906.08399},
 author = {Fiez, Tanner and Jain, Lalit and Jamieson, Kevin and Ratliff, Lillian},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
 eprint = {1906.08399},
 pdf = {https://proceedings.neurips.cc/paper_files/paper/2019/file/8ba6c657b03fc7c8dd4dff8e45defcd2-Paper.pdf},
 publisher = {Curran Associates, Inc.},
 title = {{Sequential Experimental Design for Transductive Linear Bandits}},
 url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/8ba6c657b03fc7c8dd4dff8e45defcd2-Paper.pdf},
 volume = {32},
 year = {2019}
}

@inproceedings{li2019tolling,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1903.00747},
 author = {Sarah HQ Li and Yue Yu and Daniel Calderone and Lillian Ratliff and Beh{\c c}et A{\c c}rkme{\c s}e},
 booktitle = {2019 American Control Conference (ACC)},
 eprint = {1903.00747},
 pages = {1238--1243},
 pdf = {https://arxiv.org/pdf/1903.00747},
 publisher = {IEEE},
 title = {{Tolling for constraint satisfaction in markov decision process congestion games}},
 url = {https://ieeexplore.ieee.org/abstract/document/8814925/},
 year = {2019}
}

@article{sekar2019uncertainty,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1709.08441},
 author = {Shreyas Sekar and Liyuan Zheng and Lillian J Ratliff and Baosen Zhang},
 eprint = {1709.08441},
 journal = {IEEE Transactions on Automatic Control},
 number = {11},
 pages = {4600--4615},
 pdf = {https://arxiv.org/pdf/1709.08441},
 publisher = {IEEE},
 title = {{Uncertainty in multicommodity routing networks: When does it help?}},
 url = {https://ieeexplore.ieee.org/abstract/document/8941252/},
 volume = {65},
 year = {2019}
}

@inproceedings{fiez2018combinatorial,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1807.02297},
 author = {Lillian J. Ratliff Tanner Fiez and Shreyas Sekar and Liyuan Zheng},
 booktitle = {Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI 2018)},
 eprint = {1807.02297},
 pages = {693--703},
 title = {{Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences.}},
 url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LVPkbeYAAAAJ&cstart=100&pagesize=100&citation_for_view=LVPkbeYAAAAJ:vRqMK49ujn8C},
 year = {2018}
}

@inproceedings{fiez2018data,
 author = {Tanner Fiez and Lillian J Ratliff and Chase Dowling and Baosen Zhang},
 booktitle = {2018 Annual American Control Conference (ACC)},
 pages = {2757--2762},
 pdf = {https://par.nsf.gov/servlets/purl/10065490},
 publisher = {IEEE},
 title = {{Data driven spatio-temporal modeling of parking demand}},
 url = {https://ieeexplore.ieee.org/abstract/document/8431681/},
 year = {2018}
}

@incollection{dong2018energy,
 author = {Roy Dong and Lillian J Ratliff},
 booktitle = {Big data application in power systems},
 pages = {409--444},
 publisher = {Elsevier},
 title = {{Energy disaggregation and the utility-privacy tradeoff}},
 url = {https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780128119686000188},
 year = {2018}
}

@inproceedings{ling2018koopman,
 author = {Esther Ling and Lillian Ratliff and Samuel Coogan},
 booktitle = {2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
 pages = {1297--1302},
 pdf = {https://par.nsf.gov/servlets/purl/10095239},
 publisher = {IEEE},
 title = {{Koopman operator approach for instability detection and mitigation in signalized traffic}},
 url = {https://ieeexplore.ieee.org/abstract/document/8569601/},
 year = {2018}
}

@inproceedings{samal2018mobilyticsan,
 author = {Chinmaya Samal and Abhishek Dubey and Lillian Ratliff},
 booktitle = {IEEE SmartComp},
 pdf = {https://par.nsf.gov/servlets/purl/10075930},
 title = {{Mobilytics-An Extensible, Modular and Resilient Mobility Platform}},
 url = {https://par.nsf.gov/biblio/10075930},
 year = {2018}
}

@misc{fiez2018multiarmed,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1803.04008},
 author = {Tanner Fiez and Shreyas Sekar and Lillian J Ratliff},
 eprint = {1803.04008},
 pdf = {https://arxiv.org/pdf/1803.04008},
 title = {{Multi-armed bandits for correlated markovian environments with smoothed reward feedback}},
 url = {https://arxiv.org/abs/1803.04008},
 year = {2018}
}

@article{dong2018quantifying,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1406.2568},
 author = {Roy Dong and Lillian J Ratliff and Alvaro A C{\'a}rdenas and Henrik Ohlsson and S Shankar Sastry},
 doi = {10.1145/3185511},
 eprint = {1406.2568},
 journal = {ACM Transactions on Cyber-Physical Systems},
 number = {2},
 pages = {1--28},
 pdf = {https://dl.acm.org/doi/pdf/10.1145/3185511},
 publisher = {ACM},
 title = {{Quantifying the utility--privacy tradeoff in the internet of things}},
 url = {https://dl.acm.org/doi/abs/10.1145/3185511},
 volume = {2},
 year = {2018}
}

@misc{samal2018towards,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1802.10140},
 author = {Chinmaya Samal and Liyuan Zheng and Fangzhou Sun and Lillian J Ratliff and Abhishek Dubey},
 eprint = {1802.10140},
 pdf = {https://arxiv.org/pdf/1802.10140},
 title = {{Towards a socially optimal multi-modal routing platform}},
 url = {https://arxiv.org/abs/1802.10140},
 year = {2018}
}

@article{konstantakopoulos2017a,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1704.07933},
 author = {Ioannis C Konstantakopoulos and Lillian J Ratliff and Ming Jin and S Shankar Sastry and Costas J Spanos},
 eprint = {1704.07933},
 journal = {IEEE Transactions on Control Systems Technology},
 number = {3},
 pages = {954--970},
 pdf = {https://arxiv.org/pdf/1704.07933},
 publisher = {IEEE},
 title = {{A robust utility learning framework via inverse optimization}},
 url = {https://ieeexplore.ieee.org/abstract/document/7932982/},
 volume = {26},
 year = {2017}
}

@inproceedings{mazumdar2017gradientbased,
 author = {Eric Mazumdar and Lillian J Ratliff and Tanner Fiez and S Shankar Sastry},
 booktitle = {2017 IEEE 56th Annual Conference on Decision and Control (CDC)},
 pages = {5796--5801},
 pdf = {https://par.nsf.gov/servlets/purl/10055623},
 publisher = {IEEE},
 title = {{Gradient-based inverse risk-sensitive reinforcement learning}},
 url = {https://ieeexplore.ieee.org/abstract/document/8264535/},
 year = {2017}
}

@misc{dowling2017undatedhow,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1702.06156},
 author = {Chase Dowling and Tanner Fiez and Lillian Ratliff and Baosen Zhang},
 eprint = {1702.06156},
 title = {{How Much Urban Traffic is Searching for Parking?}},
 url = {https://scholar.google.com/scholar?cluster=12838201518925481160&hl=en&oi=scholarr},
 year = {2017}
}

@inproceedings{nar2017learning,
 author = {Kamil Nar and Lillian J Ratliff and Shankar Sastry},
 booktitle = {2017 IEEE 56th Annual Conference on Decision and Control (CDC)},
 pages = {5770--5775},
 pdf = {https://par.nsf.gov/servlets/purl/10055624},
 publisher = {IEEE},
 title = {{Learning prospect theory value function and reference point of a sequential decision maker}},
 url = {https://ieeexplore.ieee.org/abstract/document/8264531/},
 year = {2017}
}

@inproceedings{konstantakopoulos2017leveraging,
 author = {Ioannis C Konstantakopoulos and Lillian J Ratliff and Ming Jin and Costas J Spanos},
 booktitle = {2017 American Control Conference (ACC)},
 pages = {5249--5256},
 publisher = {IEEE},
 title = {{Leveraging correlations in utility learning}},
 url = {https://ieeexplore.ieee.org/abstract/document/7963770/},
 year = {2017}
}

@inproceedings{dowling2017optimizing,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1703.07802},
 author = {Chase Dowling and Tanner Fiez and Lillian Ratliff and Baosen Zhang},
 booktitle = {2017 IEEE 56th annual conference on decision and control (CDC)},
 eprint = {1703.07802},
 pages = {5080--5085},
 pdf = {https://arxiv.org/pdf/1703.07802},
 publisher = {IEEE},
 title = {{Optimizing curbside parking resources subject to congestion constraints}},
 url = {https://ieeexplore.ieee.org/abstract/document/8264412/},
 year = {2017}
}

@inproceedings{westenbroek2017statistical,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1704.01195},
 author = {Tyler Westenbroek and Roy Dong and Lillian J Ratliff and S Shankar Sastry},
 booktitle = {2017 IEEE 56th Annual Conference on Decision and Control (CDC)},
 eprint = {1704.01195},
 pages = {4994--4999},
 pdf = {https://arxiv.org/pdf/1704.01195},
 publisher = {IEEE},
 title = {{Statistical estimation with strategic data sources in competitive settings}},
 url = {https://ieeexplore.ieee.org/abstract/document/8264398/},
 year = {2017}
}

@inproceedings{konstantakopoulos2016inverse,
 author = {Ioannis C Konstantakopoulos and Lillian J Ratliff and Ming Jin and Costas J Spanos and S Shankar Sastry},
 booktitle = {2016 IEEE 55th conference on decision and control (CDC)},
 pages = {6327--6334},
 pdf = {http://people.eecs.berkeley.edu/~sastry/pubs/Pdfs%20of%202016/KonstantakopoulosInverse2016.pdf},
 publisher = {IEEE},
 title = {{Inverse modeling of non-cooperative agents via mixture of utilities}},
 url = {https://ieeexplore.ieee.org/abstract/document/7799243/},
 year = {2016}
}

@article{ratliff2016TAC,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1411.2168},
 author = {Lillian J Ratliff and Samuel A. Burden and S. Shankar Sastry},
 eprint = {1411.2168},
 journal = {IEEE Transactions on Automatic Control},
 number = {8},
 pages = {2301--2307},
 pdf = {https://arxiv.org/pdf/1411.2168},
 publisher = {IEEE},
 title = {{On the Characterization of Local Nash Equilibria in Continuous Games}},
 url = {https://ieeexplore.ieee.org/abstract/document/7497532/},
 volume = {61},
 year = {2016}
}

@inproceedings{konstantakopoulos2016smart,
 author = {Ioannis C Konstantakopoulos and Lillian J Ratliff and Ming Jin and Costas Spanos and S Shankar Sastry},
 booktitle = {2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC)(SCOPE-GCTC)},
 pages = {1--6},
 pdf = {http://people.eecs.berkeley.edu/~sastry/pubs/Pdfs%20of%202016/KonstantakopoulosSmart2016.pdf},
 publisher = {IEEE},
 title = {{Smart building energy efficiency via social game: a robust utility learning framework for closing\textendash the\textendash loop}},
 url = {https://ieeexplore.ieee.org/abstract/document/7515054/},
 year = {2016}
}

@inproceedings{ratliff2016to,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1603.08995},
 author = {Lillian J Ratliff and Chase Dowling and Eric Mazumdar and Baosen Zhang},
 booktitle = {2016 IEEE 55th Conference on Decision and Control (CDC)},
 eprint = {1603.08995},
 pages = {5286--5291},
 pdf = {https://arxiv.org/pdf/1603.08995},
 publisher = {IEEE},
 title = {{To observe or not to observe: Queuing game framework for urban parking}},
 url = {https://ieeexplore.ieee.org/abstract/document/7799079/},
 year = {2016}
}

@inproceedings{calderone2016understanding,
 author = {Daniel Calderone and Eric Mazumdar and Lillian J Ratliff and S Shankar Sastry},
 booktitle = {2016 IEEE 55th Conference on Decision and Control (CDC)},
 pages = {7605--7610},
 pdf = {https://cps-vo.org/sites/cps-vo.org/files/cpsvo_file_nodes/2016cdc-calderonepdf.pdf},
 publisher = {IEEE},
 title = {{Understanding the impact of parking on urban mobility via routing games on queue-flow networks}},
 url = {https://ieeexplore.ieee.org/abstract/document/7799444/},
 year = {2016}
}

@misc{campaigne2016welfare,
 author = {Clay Campaigne and Maximilian Balandat and Lillian Ratliff},
 howpublished = {Working Paper},
 title = {{Welfare effects of dynamic electricity pricing}},
 url = {https://scholar.google.com/scholar?cluster=13583292322049117568&hl=en&oi=scholarr},
 year = {2016}
}

@misc{ratliff2015incentivizing,
 author = {Lillian Jane Ratliff},
 institution = {University of California, Berkeley},
 pdf = {https://escholarship.org/content/qt6ck1z3x3/qt6ck1z3x3_noSplash_f783bdfe734448fa984943cbf66823ae.pdf},
 title = {{Incentivizing Effiiency in Societal-Scale Cyber-Physical Systems}},
 url = {https://search.proquest.com/openview/5f07e3be3ada57ed82f4c0e36fc429fd/1?pq-origsite=gscholar&cbl=18750},
 year = {2015}
}

@inproceedings{calderone2015lane,
 author = {Daniel J Calderone and Lillian J Ratliff and S Shankar Sastry},
 booktitle = {2015 54th IEEE Conference on Decision and Control (CDC)},
 pages = {3457--3462},
 pdf = {https://danjcalderone.github.io/papers/lanepricing.pdf},
 publisher = {IEEE},
 title = {{Lane pricing via decision-theoretic lane changing model of driver behavior}},
 url = {https://ieeexplore.ieee.org/abstract/document/7402754/},
 year = {2015}
}

@inproceedings{scobee2015nuclear,
 author = {Dexter Scobee and Lillian Ratliff and Roy Dong and Henrik Ohlsson and Michel Verhaegen and S Shankar Sastry},
 booktitle = {2015 54th IEEE Conference on Decision and Control (CDC)},
 pages = {2127--2132},
 pdf = {http://people.eecs.berkeley.edu/~sastry/pubs/Pdfs%20of%202015/ScobeeNuclear2015.pdf},
 publisher = {IEEE},
 title = {{Nuclear norm minimization for blind subspace identification (N2BSID)}},
 url = {https://ieeexplore.ieee.org/abstract/document/7402521/},
 year = {2015}
}

@inproceedings{jin2015rest,
 author = {Ming Jin and Lillian J Ratliff and Ioannis Konstantakopoulos and Costas Spanos and Shankar Sastry},
 booktitle = {Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems},
 doi = {10.1145/2735960.2735974},
 pages = {90--99},
 pdf = {https://dl.acm.org/doi/pdf/10.1145/2735960.2735974},
 title = {{REST: a reliable estimation of stopping time algorithm for social game experiments}},
 url = {https://dl.acm.org/doi/abs/10.1145/2735960.2735974},
 year = {2015}
}

@article{kachroo2014analysis,
 author = {Pushkin Kachroo and Lillian Ratliff and Shankar Sastry},
 journal = {IEEE Transactions on Intelligent Transportation Systems},
 number = {5},
 pages = {2132--2142},
 pdf = {http://people.eecs.berkeley.edu/~sastry/pubs/Pdfs%20of%202014/KachrooAnalysis2014.pdf},
 publisher = {IEEE},
 title = {{Analysis of the Godunov-based hybrid model for ramp metering and robust feedback control design}},
 url = {https://ieeexplore.ieee.org/abstract/document/6797900/},
 volume = {15},
 year = {2014}
}

@inproceedings{ohlsson2014blind,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1312.2060},
 author = {Henrik Ohlsson and Lillian Ratliff and Roy Dong and S Shankar Sastry},
 booktitle = {IFAC Proceedings Volumes},
 eprint = {1312.2060},
 number = {3},
 pages = {10367--10372},
 pdf = {https://arxiv.org/pdf/1312.2060},
 publisher = {Elsevier},
 title = {{Blind identification via lifting}},
 url = {https://www.sciencedirect.com/science/article/pii/S1474667016432593},
 volume = {47},
 year = {2014}
}

@misc{ratliff2014effects,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1409.7926},
 author = {Lillian J Ratliff and Carlos Barreto and Roy Dong and Henrik Ohlsson and Alvaro C{\'a}rdenas and S Shankar Sastry},
 eprint = {1409.7926},
 pdf = {https://arxiv.org/pdf/1409.7926},
 title = {{Effects of risk on privacy contracts for demand-side management}},
 url = {https://arxiv.org/abs/1409.7926},
 year = {2014}
}

@inproceedings{ratliff2014energy,
 author = {Lillian J Ratliff and Roy Dong and Henrik Ohlsson and S Shankar Sastry},
 booktitle = {Proceedings of the 3rd international conference on High confidence networked systems},
 doi = {10.1145/2566468.2576849},
 pages = {57--58},
 pdf = {https://dl.acm.org/doi/pdf/10.1145/2566468.2576849},
 title = {{Energy efficiency via incentive design and utility learning}},
 url = {https://dl.acm.org/doi/abs/10.1145/2566468.2576849},
 year = {2014}
}

@inproceedings{dong2014fundamental,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1310.7850},
 author = {Roy Dong and Lillian Ratliff and Henrik Ohlsson and S Shankar Sastry},
 booktitle = {Proceedings of the 3rd international conference on High confidence networked systems},
 doi = {10.1145/2566468.2566471},
 eprint = {1310.7850},
 pages = {11--18},
 pdf = {https://dl.acm.org/doi/pdf/10.1145/2566468.2566471},
 title = {{Fundamental limits of nonintrusive load monitoring}},
 url = {https://dl.acm.org/doi/abs/10.1145/2566468.2566471},
 year = {2014}
}

@inproceedings{ratliff2014genericity,
 author = {Lillian J Ratliff and Samuel A Burden and S Shankar Sastry},
 booktitle = {2014 American Control Conference},
 pages = {3990--3995},
 pdf = {http://faculty.uw.edu/sburden/_papers/RatliffBurden2014acc.pdf},
 publisher = {IEEE},
 title = {{Genericity and structural stability of non-degenerate differential Nash equilibria}},
 url = {https://ieeexplore.ieee.org/abstract/document/6858848/},
 year = {2014}
}

@inproceedings{ratliff2014incentive,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1312.1394},
 author = {Lillian J Ratliff and Roy Dong and Henrik Ohlsson and S Shankar Sastry},
 booktitle = {IFAC Proceedings volumes},
 eprint = {1312.1394},
 number = {3},
 pages = {3158--3163},
 pdf = {https://arxiv.org/pdf/1312.1394},
 publisher = {Elsevier},
 title = {{Incentive design and utility learning via energy disaggregation}},
 url = {https://www.sciencedirect.com/science/article/pii/S1474667016420938},
 volume = {47},
 year = {2014}
}

@inproceedings{calderone2014pricing,
 author = {Daniel Calderone and Lillian J Ratliff and S Shankar Sastry},
 booktitle = {IFAC Proceedings Volumes},
 number = {3},
 pages = {9001--9006},
 pdf = {https://people.eecs.berkeley.edu/~sastry/pubs/Pdfs%20of%202014/CalderonePricing2014.pdf},
 publisher = {Elsevier},
 title = {{Pricing for Coordination in Open\textendash Loop Differential Games}},
 url = {https://www.sciencedirect.com/science/article/pii/S147466701643034X},
 volume = {47},
 year = {2014}
}

@inproceedings{ratliff2014privacy,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1405.7748},
 author = {Lillian J Ratliff and Roy Dong and Henrik Ohlsson and Alvaro A C{\'a}rdenas and S Shankar Sastry},
 booktitle = {53rd IEEE Conference on Decision and Control},
 eprint = {1405.7748},
 pages = {2136--2141},
 pdf = {https://arxiv.org/pdf/1405.7748},
 publisher = {IEEE},
 title = {{Privacy and customer segmentation in the smart grid}},
 url = {https://ieeexplore.ieee.org/abstract/document/7039714/},
 year = {2014}
}

@inproceedings{ratliff2014social,
 author = {Lillian J Ratliff and Ming Jin and Ioannis C Konstantakopoulos and Costas Spanos and S Shankar Sastry},
 booktitle = {2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
 pages = {1011--1018},
 pdf = {https://escholarship.org/content/qt3ww649ck/qt3ww649ck_noSplash_6e5bb8bef05d89b5bf5cc25001923dab.pdf},
 publisher = {IEEE},
 title = {{Social game for building energy efficiency: Incentive design}},
 url = {https://ieeexplore.ieee.org/abstract/document/7028565/},
 year = {2014}
}

@misc{konstantakopoulos2014social,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1407.0727},
 author = {Ioannis C Konstantakopoulos and Lillian J Ratliff and Ming Jin and S Shankar Sastry and Costas Spanos},
 eprint = {1407.0727},
 pdf = {https://arxiv.org/pdf/1407.0727},
 title = {{Social game for building energy efficiency: Utility learning, simulation, and analysis}},
 url = {https://arxiv.org/abs/1407.0727},
 year = {2014}
}

@inproceedings{dong2013a,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1304.0789},
 author = {Roy Dong and Lillian Ratliff and Henrik Ohlsson and S Shankar Sastry},
 booktitle = {52nd IEEE Conference on Decision and Control},
 eprint = {1304.0789},
 pages = {6335--6340},
 pdf = {https://arxiv.org/pdf/1304.0789},
 publisher = {IEEE},
 title = {{A dynamical systems approach to energy disaggregation}},
 url = {https://ieeexplore.ieee.org/abstract/document/6760891/},
 year = {2013}
}

@inproceedings{bestick2013an,
 author = {Aaron Bestick and Lillian J Ratliff and Posu Yan and Ruzena Bajcsy and S Shankar Sastry},
 booktitle = {Proceedings of the 2nd ACM international conference on High confidence networked systems},
 doi = {10.1145/2461446.2461449},
 pages = {9--16},
 pdf = {https://dl.acm.org/doi/pdf/10.1145/2461446.2461449},
 title = {{An inverse correlated equilibrium framework for utility learning in multiplayer, noncooperative settings}},
 url = {https://dl.acm.org/doi/abs/10.1145/2461446.2461449},
 year = {2013}
}

@inproceedings{ratliff2013behavior,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1312.1394},
 author = {Lillian J Ratliff and Roy Dong and Henrik Ohlsson and S Shankar Sastry},
 booktitle = {IFAC World Congress},
 eprint = {1312.1394},
 pdf = {https://www.researchgate.net/profile/Henrik-Ohlsson-2/publication/259151373_Behavior_Modification_and_Utility_Learning_via_Energy_Disaggregation/links/5419a9900cf2218008bf9a42/Behavior-Modification-and-Utility-Learning-via-Energy-Disaggregation.pdf},
 title = {{Behavior modification and utility learning via energy disaggregation}},
 url = {https://arxiv.org/abs/1312.1394},
 year = {2013}
}

@misc{ohlsson2013blind,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1303.6719},
 author = {Henrik Ohlsson and Lillian Ratliff and Roy Dong and S Shankar Sastry},
 eprint = {1303.6719},
 pdf = {https://arxiv.org/pdf/1303.6719},
 title = {{Blind identification of ARX models with piecewise constant inputs}},
 url = {https://arxiv.org/abs/1303.6719},
 year = {2013}
}

@inproceedings{ratliff2013Allerton,
 author = {Lillian J Ratliff and Samuel A Burden and S Shankar Sastry},
 booktitle = {Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013},
 pages = {917--924},
 pdf = {https://ptolemy.berkeley.edu/projects/truststc/pubs/924/Ratliff_2013_10_TRUST.pdf},
 publisher = {IEEE},
 title = {{Characterization and Computation of Local Nash Equilibria in Continuous Games}},
 url = {https://ieeexplore.ieee.org/abstract/document/6736623/},
 year = {2013}
}

@inproceedings{dong2013energy,
 archiveprefix = {arXiv},
 arxiv = {https://arxiv.org/abs/1307.4132},
 author = {Roy Dong and Lillian J Ratliff and Henrik Ohlsson and S Shankar Sastry},
 booktitle = {Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on},
 eprint = {1307.4132},
 pages = {173--180},
 pdf = {https://arxiv.org/pdf/1307.4132},
 publisher = {IEEE},
 title = {{Energy disaggregation via adaptive filtering}},
 url = {https://arxiv.org/abs/1307.4132},
 year = {2013}
}

@inproceedings{coogan2013energy,
 author = {Samuel Coogan and Lillian J Ratliff and Daniel Calderone and Claire Tomlin and S Shankar Sastry},
 booktitle = {2013 American Control Conference},
 pages = {443--448},
 pdf = {https://danjcalderone.github.io/papers/energypricingLQG.pdf},
 publisher = {IEEE},
 title = {{Energy management via pricing in LQ dynamic games}},
 url = {https://ieeexplore.ieee.org/abstract/document/6579877/},
 year = {2013}
}

@inproceedings{calderone2013pricing,
 author = {Daniel J Calderone and Lillian J Ratliff and S Shankar Sastry},
 booktitle = {52nd IEEE Conference on Decision and Control},
 pages = {4349--4354},
 pdf = {http://people.eecs.berkeley.edu/~sastry/pubs/Pdfs%20of%202013/CalderonePricing2013.pdf},
 publisher = {IEEE},
 title = {{Pricing design for robustness in linear quadratic games}},
 url = {https://ieeexplore.ieee.org/abstract/document/6760558/},
 year = {2013}
}

@inproceedings{ratliff2012pricing,
 author = {Lillian J Ratliff and Samuel Coogan and Daniel Calderone and S Shankar Sastry},
 booktitle = {2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
 pages = {1798--1805},
 pdf = {https://www.academia.edu/download/54584590/allerton2012.pdf},
 publisher = {IEEE},
 title = {{Pricing in linear-quadratic dynamic games}},
 url = {https://ieeexplore.ieee.org/abstract/document/6483440/},
 year = {2012}
}

@misc{ratliff2010conservation,
 author = {Lillian J Ratliff},
 institution = {University of Nevada, Las Vegas},
 pdf = {https://oasis.library.unlv.edu/cgi/viewcontent.cgi?article=1868&context=thesesdissertations},
 title = {{Conservation based uncertainty propagation in dynamic systems}},
 url = {https://search.proquest.com/openview/ea7b8efa97606de1331618d8a5ed013d/1?pq-origsite=gscholar&cbl=18750},
 year = {2010}
}

@misc{ratliff2010validating,
 author = {Lillian Ratliff and Pushkin Kachroo},
 howpublished = {Transportation Research Board 89th Annual MeetingTransportation Research Board},
 number = {10-2633},
 title = {{Validating Numerically Consistent Macroscopic Traffic Models Using Microscopic Data}},
 url = {https://trid.trb.org/View/910648},
 year = {2010}
}

@misc{ratliff2009assessment,
 author = {Lillian J Ratliff and Pushkin Kachroo},
 title = {{Assessment of macroscopic models of Traffic Flow}},
 url = {https://scholar.google.com/scholar?cluster=10100812226900164796&hl=en&oi=scholarr},
 year = {2009}
}

@inproceedings{shlayan2009travel,
 author = {Neveen Shlayan and Lillian Ratliff and Omer Ayubi and Pushkin Kachroo},
 booktitle = {Proceedings: 88th TRB annual meeting, Transportation Research Board, Washington, DC},
 pdf = {https://www.academia.edu/download/49090758/Travel_Time_Reliability_Analysis_Using_D20160924-21985-17gbfi8.pdf},
 title = {{Travel time reliability analysis using dynamic message sign recordings}},
 url = {https://www.academia.edu/download/49090758/Travel_Time_Reliability_Analysis_Using_D20160924-21985-17gbfi8.pdf},
 year = {2009}
}

@inproceedings{cook2006numerical,
 author = {Daniel P Cook and Yitung Chen and Lillian J Ratliff and Huajun Chen and Jian Ma},
 booktitle = {ASME International Mechanical Engineering Congress and Exposition},
 pages = {775--780},
 title = {{Numerical modeling of em pump efficiency}},
 url = {https://asmedigitalcollection.asme.org/IMECE/proceedings-abstract/IMECE2006/775/310156},
 volume = {47705},
 year = {2006}
}