%% This BibTeX bibliography file was created using BibDesk. %% https://bibdesk.sourceforge.io/ %% Created for ratlifflj at 2026-10-08 16:38:57 -0700 %% Saved with string encoding Unicode (UTF-8) @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}, date-added = {2026-10-08 16:29:19 -0700}, date-modified = {2026-10-08 16:38:57 -0700}, howpublished = {arxiv}, title = {Sample-Efficient Reinforcement Learning for Policy Improvement via Flow-Reversed Action Anchors}, year = {2026}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/6736623/}} @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}, bdsk-url-1 = {https://proceedings.mlr.press/v119/fiez20a.html}} @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}, bdsk-url-1 = {https://epubs.siam.org/doi/abs/10.1137/18M1231298}, bdsk-url-2 = {https://doi.org/10.1137/18M1231298}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/7497532/}} @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}, bdsk-url-1 = {https://proceedings.neurips.cc/paper_files/paper/2019/file/8ba6c657b03fc7c8dd4dff8e45defcd2-Paper.pdf}} @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}, bdsk-url-1 = {https://proceedings.mlr.press/v120/zheng20a.html}} @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}, bdsk-url-1 = {http://jmlr.org/papers/v24/22-0131.html}} @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}, bdsk-url-1 = {https://par.nsf.gov/servlets/purl/10290180}} @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}, bdsk-url-1 = {https://sgo-workshop.github.io/CameraReady2019/28.pdf}} @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}, bdsk-url-1 = {https://www.annualreviews.org/content/journals/10.1146/annurev-control-053018-023634}, bdsk-url-2 = {https://doi.org/10.1146/annurev-control-053018-023634}} @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}, bdsk-url-1 = {https://openreview.net/forum?id=AWOSz_mMAPx}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/7028565/}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/9209172/}} @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}, bdsk-url-1 = {https://arxiv.org/abs/1911.04672}} @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}, bdsk-url-1 = {https://ojs.aaai.org/index.php/AAAI/article/view/20780}} @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}, bdsk-url-1 = {https://proceedings.mlr.press/v124/fiez20a.html}} @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}, bdsk-url-1 = {https://par.nsf.gov/servlets/purl/10165577}} @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}, bdsk-url-1 = {https://dl.acm.org/doi/abs/10.1145/3185511}, bdsk-url-2 = {https://doi.org/10.1145/3185511}} @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}, bdsk-url-1 = {https://arxiv.org/abs/1307.4132}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/6579877/}} @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}, bdsk-url-1 = {https://proceedings.neurips.cc/paper_files/paper/2022/file/f4821075019a058700f6e6738eea1365-Paper-Conference.pdf}, bdsk-url-2 = {https://doi.org/10.52202/068431-2725}} @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}, bdsk-url-1 = {https://proceedings.neurips.cc/paper_files/paper/2021/file/f3507289cfdc8c9ae93f4098111a13f9-Paper.pdf}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/8754789/}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/7932982/}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/8663628/}} @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}, bdsk-url-1 = {https://dl.acm.org/doi/abs/10.1145/2566468.2566471}, bdsk-url-2 = {https://doi.org/10.1145/2566468.2566471}} @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}, bdsk-url-1 = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=LVPkbeYAAAAJ&pagesize=100&citation_for_view=LVPkbeYAAAAJ:J-pR_7NvFogC}} @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}, bdsk-url-1 = {https://proceedings.mlr.press/v151/maheshwari22a.html}} @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 = 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{{Gaussian mixture models for parking demand data}}, url = {https://ieeexplore.ieee.org/abstract/document/8842617/}, volume = {21}, year = {2019}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/8842617/}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/6858848/}} @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 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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}, bdsk-url-1 = {https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780128119686000188}} @inproceedings{conger2024coupled, archiveprefix = {arXiv}, arxiv = {https://arxiv.org/abs/2411.07403}, author = {Lauren Conger and Franca Hoffmann and Eric Mazumdar and Lillian J Ratliff}, 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}, booktitle = {Advances in Neural Information Processing Systems}, bdsk-url-1 = {https://arxiv.org/abs/2411.07403}} @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}, bdsk-url-1 = {https://proceedings.neurips.cc/paper_files/paper/2023/file/902c462e821e5e639ac3422b48b65932-Paper-Conference.pdf}, bdsk-url-2 = {https://doi.org/10.52202/075280-1993}} @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}, date-modified = {2026-10-08 14:20:15 -0700}, 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}, bdsk-url-1 = {https://par.nsf.gov/servlets/purl/10334310}} @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}, bdsk-url-1 = {https://arxiv.org/abs/2512.21446}} @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}, bdsk-url-1 = {https://arxiv.org/abs/1802.10140}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/8264531/}} @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}, bdsk-url-1 = {https://www.nature.com/articles/s41598-025-12998-1}} @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}, bdsk-url-1 = {https://scholar.google.com/scholar?cluster=13583292322049117568&hl=en&oi=scholarr}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/6797900/}} @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}, bdsk-url-1 = {https://arxiv.org/abs/2310.16236}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/9030002/}} @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}, bdsk-url-1 = 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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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/10163400/}} @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 = 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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}, bdsk-url-1 = {https://link.springer.com/chapter/10.1007/978-3-032-03639-1_1}, bdsk-url-2 = {https://doi.org/10.1007/978-3-032-03639-1_1}} @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}, bdsk-url-1 = {https://arxiv.org/abs/2302.01421}} @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 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Ratliff and Yulia Tsvetkov and Sewoong Oh and Pang Wei Koh}, pdf = {https://openreview.net/pdf?id=IuxdNlVywb}, title = {{Conformal Reasoning: Uncertainty Estimation in Interactive Environments}}, url = {https://openreview.net/forum?id=IuxdNlVywb}, year = {2024}, booktitle = {NeurIPS 2024 Workshop on Statistical Frontiers in LLMs and Foundation Models}, bdsk-url-1 = {https://openreview.net/forum?id=IuxdNlVywb}} @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}, bdsk-url-1 = {https://arxiv.org/abs/2206.02667}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/7402754/}} @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}, bdsk-url-1 = {https://search.proquest.com/openview/ea7b8efa97606de1331618d8a5ed013d/1?pq-origsite=gscholar&cbl=18750}} @misc{horwitz2026structure, archiveprefix = {arXiv}, arxiv = {https://arxiv.org/abs/2605.09946}, author = 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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}, bdsk-url-1 = {https://openreview.net/pdf?id=q6aopfT2d5}} @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}, bdsk-url-1 = {https://arxiv.org/abs/2506.22947}} @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}, bdsk-url-1 = {https://patents.google.com/patent/US20250094855A1/en}} @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 = 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games with networked information flows}}, url = {https://arxiv.org/abs/2205.02760}, year = {2022}, bdsk-url-1 = {https://arxiv.org/abs/2205.02760}} @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}, bdsk-url-1 = {https://arxiv.org/abs/2207.03091}} @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}, bdsk-url-1 = {https://ieeexplore.ieee.org/abstract/document/9029519/}} 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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}, bdsk-url-1 = {https://arxiv.org/abs/1907.08912}} @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}, bdsk-url-1 = {https://arxiv.org/abs/1901.08731}} @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}, bdsk-url-1 = {https://www.sciencedirect.com/science/article/pii/S147466701643034X}} @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 = 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Regions of Attraction in Learning with Decision-Dependent Distributions}}, url = {https://arxiv.org/abs/2107.00055}, year = {2021}, bdsk-url-1 = {https://arxiv.org/abs/2107.00055}} @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}, bdsk-url-1 = {https://ala2021.vub.ac.be/papers/ALA2021_paper_38.pdf}} @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}, date-modified = {2026-10-08 14:28:25 -0700}, eprint = {2011.05562}, pdf = 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Learning in Continuous Games}}, url = {https://danjcalderone.github.io/papers/convergencelearninggames.pdf}, year = {2019}, bdsk-url-1 = {https://danjcalderone.github.io/papers/convergencelearninggames.pdf}} @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}, bdsk-url-1 = {https://par.nsf.gov/biblio/10075930}} @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}, date-modified = {2026-10-08 14:33:20 -0700}, eprint = {1312.1394}, pdf = 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Observing Them}}, url = {https://openreview.net/forum?id=ZUhwFIw4yH}, year = {2026}, bdsk-url-1 = {https://openreview.net/forum?id=ZUhwFIw4yH}} @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}, date-modified = {2026-10-08 14:16:19 -0700}, 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}, bdsk-url-1 = {https://arxiv.org/abs/2603.09208}} @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}, date-modified = 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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}, bdsk-url-1 = {https://pubsonline.informs.org/doi/abs/10.1287/ijoo.2021.0012}, bdsk-url-2 = {https://doi.org/10.1287/ijoo.2021.0012}} @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}, bdsk-url-1 = 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Macroscopic Traffic Models Using Microscopic Data}}, url = {https://trid.trb.org/View/910648}, year = {2010}, bdsk-url-1 = {https://trid.trb.org/View/910648}} @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}, bdsk-url-1 = {https://scholar.google.com/scholar?cluster=10100812226900164796&hl=en&oi=scholarr}} @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}, bdsk-url-1 = 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machines converges to game-theoretic equilibria }}, url = {https://arxiv.org/abs/2305.01124}, year = {2023}, bdsk-url-1 = {http://faculty.uw.edu/sburden/_papers/Chasnov2023arxiv.pdf}}