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
1492013
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
852016
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
56*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
55*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
402014
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
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
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
292019
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
282017
Incentive design and utility learning via energy disaggregation
LJ Ratliff, R Dong, H Ohlsson, SS Sastry
IFAC Proceedings Volumes 47 (3), 3158-3163, 2014
282014
Genericity and structural stability of non-degenerate differential Nash equilibria
LJ Ratliff, SA Burden, SS Sastry
2014 American Control Conference, 3990-3995, 2014
262014
Constrained upper confidence reinforcement learning
L Zheng, L Ratliff
Learning for Dynamics and Control, 620-629, 2020
242020
How much urban traffic is searching for parking
C Dowling, T Fiez, L Ratliff, B Zhang
arXiv preprint arXiv:1702.06156, 2017
242017
Energy disaggregation via adaptive filtering
R Dong, LJ Ratliff, H Ohlsson, SS Sastry
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton …, 2013
232013
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
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
202020
Smart building energy efficiency via social game: a robust utility learning framework for closing–the–loop
IC Konstantakopoulos, LJ Ratliff, M Jin, C Spanos, SS Sastry
2016 1st International Workshop on Science of Smart City Operations and …, 2016
192016
Convergence Guarantees for Gradient-Based Learning in Continuous Games.
B Chasnov, LJ Ratliff, E Mazumdar, S Burden
Uncertainty in artificial intelligence, 2019
18*2019
Quantifying the Utility--Privacy Tradeoff in the Internet of Things
R Dong, LJ Ratliff, AA Cárdenas, H Ohlsson, SS Sastry
ACM Transactions on Cyber-Physical Systems 2 (2), 1-28, 2018
18*2018
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