Lillian J. Ratliff

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Shankar SastryUniversity of CaliforniaVerified email at berkeley.edu
Tanner FiezApplied Scientist at AmazonVerified email at amazon.com
Eric MazumdarAssistant Professor, California Institute of TechnologyVerified email at caltech.edu
Benjamin ChasnovUniversity of WashingtonVerified email at uw.edu
Roy DongAssistant Professor at UIUCVerified email at illinois.edu
Sam BurdenAssoc Prof, UW SeattleVerified email at uw.edu
Henrik OhlssonChief and VP of Data Science, C3 AI/Visiting Prof., UC Berkeley/Assistant Prof., LinköpingVerified email at isy.liu.se
Liyuan ZhengUniversity of WashingtonVerified email at uw.edu
Maryam FazelMoorthy Family Professor of Electrical and Computer Engineering, University of WashingtonVerified email at uw.edu
Baosen ZhangKeith and Nancy Rattie Endowed Career Development Professor, University of WashingtonVerified email at uw.edu
Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyVerified email at berkeley.edu
Ioannis C. KonstantakopoulosSenior Software Engineer - Machine Learning (AI) @ Meta - IntegrityVerified email at fb.com
Kevin JamiesonAssociate Professor, University of WashingtonVerified email at cs.washington.edu
Ming JinVirginia TechVerified email at vt.edu
Chase Patrick DowlingTeslaVerified email at tesla.com
Adhyyan NarangPhD Student in ECE, University of WashingtonVerified email at uw.edu
Behçet AçıkmeşeUniversity of Washington, SeattleVerified email at uw.edu
Dmitriy DrusvyatskiyUniversity of WashingtonVerified email at uw.edu
Sarah H. Q. LiETH ZurichVerified email at control.ee.ethz.ch
Samuel CooganAssociate Professor, Georgia TechVerified email at gatech.edu

Lillian J. Ratliff

Associate Professor, University of Washington

Verified email at uw.edu - Homepage

Game Theory Machine Learning Optimization Control Theory


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Characterization and Computation of Local Nash Equilibria in Continuous Games LJ Ratliff, SA Burden, SS Sastry Proceedings of the 51st Annual Allerton Conference on Communication, Control …, 2013	314	2013
Implicit learning dynamics in stackelberg games: Equilibria characterization, convergence analysis, and empirical study T Fiez, B Chasnov, L Ratliff International Conference on Machine Learning, 3133-3144, 2020	220*	2020
On gradient-based learning in continuous games E Mazumdar, LJ Ratliff, SS Sastry SIAM Journal on Mathematics of Data Science 2 (1), 103-131, 2020	204*	2020
On the Characterization of Local Nash Equilibria in Continuous Games LJ Ratliff, SA Burden, SS Sastry IEEE Transactions on Automatic Control 61 (8), 2301-2307, 2016	176	2016
Sequential Experimental Design for Transductive Linear Bandits T Fiez, L Jain, KG Jamieson, LJ Ratliff Advances in Neural Information Processing Systems 32 (NeurIPS 2019) 32, 2019	136	2019
Constrained upper confidence reinforcement learning L Zheng, L Ratliff Learning for Dynamics and Control, 620-629, 2020	104	2020
Social game for building energy efficiency: Incentive design LJ Ratliff, M Jin, IC Konstantakopoulos, C Spanos, SS Sastry 2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014	63	2014
Multiplayer performative prediction: Learning in decision-dependent games A Narang, E Faulkner, D Drusvyatskiy, M Fazel, LJ Ratliff Journal of Machine Learning Research 24 (202), 1-56, 2023	62*	2023
Policy Gradient in Linear Quadratic Dynamic Games Has No Convergence Guarantees E Mazumdar, LJ Ratliff, MI Jordan, SS Sastry Proceedings of the 19th International Conference on Autonomous Agents and …, 2020	58*	2020
Local convergence analysis of gradient descent ascent with finite timescale separation T Fiez, LJ Ratliff Proceedings of the International Conference on Learning Representation, 2021	57*	2021
A perspective on incentive design: Challenges and opportunities LJ Ratliff, R Dong, S Sekar, T Fiez Annual Review of Control, Robotics, and Autonomous Systems 2 (1), 305-338, 2019	57	2019
A SUPER* algorithm to optimize paper bidding in peer review T Fiez, N Shah, L Ratliff Conference on uncertainty in artificial intelligence, 580-589, 2020	54	2020
Global convergence of policy gradient for sequential zero-sum linear quadratic dynamic games J Bu, LJ Ratliff, M Mesbahi arXiv preprint arXiv:1911.04672, 2019	51	2019
Stackelberg actor-critic: A game-theoretic perspective L Zheng, T Fiez, Z Alumbaugh, B Chasnov, LJ Ratliff AAAI Workshop on Reinforcement Learning and Games, 2021	50*	2021
Convergence Guarantees for Gradient-Based Learning in Continuous Games. B Chasnov, LJ Ratliff, E Mazumdar, S Burden Uncertainty in artificial intelligence, 2019	49*	2019
How much urban traffic is searching for parking C Dowling, T Fiez, L Ratliff, B Zhang arXiv preprint arXiv:1702.06156, 1-20, 2017	44	2017
Energy disaggregation via adaptive filtering R Dong, LJ Ratliff, H Ohlsson, SS Sastry Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton …, 2013	43	2013
Energy management via pricing in LQ dynamic games S Coogan, LJ Ratliff, D Calderone, C Tomlin, SS Sastry 2013 American Control Conference, 443-448, 2013	43	2013
Adaptive incentive design LJ Ratliff, T Fiez IEEE Transactions on Automatic Control 66 (8), 3871-3878, 2020	41	2020
Decision-dependent risk minimization in geometrically decaying dynamic environments M Ray, LJ Ratliff, D Drusvyatskiy, M Fazel Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8081-8088, 2022	40	2022

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