Lillian J. Ratliff
Lillian J. Ratliff
Associate Professor, University of Washington
Потвърден имейл адрес: uw.edu - Начална страница
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
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
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
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
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
Constrained upper confidence reinforcement learning
L Zheng, L Ratliff
Learning for Dynamics and Control, 620-629, 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
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
Local convergence analysis of gradient descent ascent with finite timescale separation
T Fiez, LJ Ratliff
Proceedings of the International Conference on Learning Representation, 2021
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
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
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
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
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
Convergence Guarantees for Gradient-Based Learning in Continuous Games.
B Chasnov, LJ Ratliff, E Mazumdar, S Burden
Uncertainty in artificial intelligence, 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
Energy disaggregation via adaptive filtering
R Dong, LJ Ratliff, H Ohlsson, SS Sastry
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton …, 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
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
Adaptive incentive design
LJ Ratliff, T Fiez
IEEE Transactions on Automatic Control 66 (8), 3871-3878, 2020
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