Lillian J. Ratliff
Lillian J. Ratliff
Assistant Professor, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
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
1592013
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
932016
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
64*2020
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
59*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
422014
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
362014
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
362013
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
332019
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
312013
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
292017
Incentive design and utility learning via energy disaggregation
LJ Ratliff, R Dong, H Ohlsson, SS Sastry
IFAC Proceedings Volumes 47 (3), 3158-3163, 2014
292014
Constrained upper confidence reinforcement learning
L Zheng, L Ratliff
Learning for Dynamics and Control, 620-629, 2020
272020
How much urban traffic is searching for parking
C Dowling, T Fiez, L Ratliff, B Zhang
arXiv preprint arXiv:1702.06156, 2017
272017
Genericity and structural stability of non-degenerate differential Nash equilibria
LJ Ratliff, SA Burden, SS Sastry
2014 American Control Conference, 3990-3995, 2014
262014
Energy disaggregation via adaptive filtering
R Dong, LJ Ratliff, H Ohlsson, SS Sastry
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton …, 2013
242013
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
232020
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
21*2019
Pricing in linear-quadratic dynamic games
LJ Ratliff, S Coogan, D Calderone, SS Sastry
2012 50th Annual Allerton Conference on Communication, Control, and …, 2012
212012
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
202019
Convergence Guarantees for Gradient-Based Learning in Continuous Games.
B Chasnov, LJ Ratliff, E Mazumdar, S Burden
Uncertainty in artificial intelligence, 2019
20*2019
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