Lillian J. Ratliff

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Shankar SastryUniversity of CaliforniaVerified email at berkeley.edu
Eric MazumdarAssistant Professor, California Institute of TechnologyVerified email at caltech.edu
Roy DongResearch Assistant Professor at UIUCVerified email at illinois.edu
Benjamin ChasnovUniversity of WashingtonVerified 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
Sam BurdenAssoc Prof, UW SeattleVerified 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
Ming JinVirginia TechVerified email at vt.edu
Chase Patrick DowlingTeslaVerified email at tesla.com
Behçet AçıkmeşeUniversity of Washington, SeattleVerified email at uw.edu
Samuel CooganAssociate Professor, Georgia TechVerified email at gatech.edu
Sarah H. Q. LiUniversity of WashingtonVerified email at uw.edu
Kevin JamiesonAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Shreyas SekarRotman School of Management and University of Toronto ScarboroughVerified email at rotman.utoronto.ca
Lalit JainUniversity of WashingtonVerified email at uw.edu
Yue YuThe University of Texas at AustinVerified email at utexas.edu
Alvaro A. CardenasAssociate Professor of Computer Science and Engineering. University of California, Santa CruzVerified email at ucsc.edu
Pushkin KachrooProfessor of Electrical and Computer Engineering, UNLVVerified email at unlv.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	236	2013
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	143*	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	136	2016
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	132*	2020
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	86	2019
Constrained upper confidence reinforcement learning L Zheng, L Ratliff Learning for Dynamics and Control, 620-629, 2020	63	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	54	2014
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	42	2020
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	41	2013
Policy-gradient algorithms have no guarantees of convergence in continuous action and state multi-agent settings E Mazumdar, LJ Ratliff, MI Jordan, SS Sastry arXiv preprint arXiv:1907.03712, 2019	38*	2019
Energy disaggregation via adaptive filtering R Dong, LJ Ratliff, H Ohlsson, SS Sastry Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton …, 2013	38	2013
How much urban traffic is searching for parking C Dowling, T Fiez, L Ratliff, B Zhang arXiv preprint arXiv:1702.06156, 1-20, 2017	37	2017
Fundamental limits of nonintrusive load monitoring R Dong, L Ratliff, H Ohlsson, SS Sastry Proceedings of the 3rd international conference on High confidence networked …, 2014	37	2014
Local convergence analysis of gradient descent ascent with finite timescale separation T Fiez, LJ Ratliff Proceedings of the International Conference on Learning Representation, 2021	36*	2021
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	36	2019
A robust utility learning framework via inverse optimization IC Konstantakopoulos, LJ Ratliff, M Jin, SS Sastry, CJ Spanos IEEE Transactions on Control Systems Technology 26 (3), 954-970, 2017	35	2017
Incentive design and utility learning via energy disaggregation LJ Ratliff, R Dong, H Ohlsson, SS Sastry IFAC Proceedings Volumes 47 (3), 3158-3163, 2014	35	2014
Genericity and structural stability of non-degenerate differential Nash equilibria LJ Ratliff, SA Burden, SS Sastry 2014 American Control Conference, 3990-3995, 2014	34	2014
A dynamical systems approach to energy disaggregation R Dong, L Ratliff, H Ohlsson, SS Sastry 52nd IEEE Conference on Decision and Control, 6335-6340, 2013	34	2013
Convergence Guarantees for Gradient-Based Learning in Continuous Games. B Chasnov, LJ Ratliff, E Mazumdar, S Burden Uncertainty in artificial intelligence, 2019	33*	2019

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