Yinlam Chow
Title
Cited by
Cited by
Year
A lyapunov-based approach to safe reinforcement learning
Y Chow, O Nachum, E Duenez-Guzman, M Ghavamzadeh
arXiv preprint arXiv:1805.07708, 2018
1352018
Risk-sensitive and robust decision-making: a cvar optimization approach
Y Chow, A Tamar, S Mannor, M Pavone
arXiv preprint arXiv:1506.02188, 2015
1272015
Risk-constrained reinforcement learning with percentile risk criteria
Y Chow, M Ghavamzadeh, L Janson, M Pavone
The Journal of Machine Learning Research 18 (1), 6070-6120, 2017
1112017
More robust doubly robust off-policy evaluation
M Farajtabar, Y Chow, M Ghavamzadeh
International Conference on Machine Learning, 1447-1456, 2018
942018
Safe policy improvement by minimizing robust baseline regret
M Petrik, Y Chow, M Ghavamzadeh
arXiv preprint arXiv:1607.03842, 2016
842016
Algorithms for CVaR optimization in MDPs
Y Chow, M Ghavamzadeh
arXiv preprint arXiv:1406.3339, 2014
842014
Dualdice: Behavior-agnostic estimation of discounted stationary distribution corrections
O Nachum, Y Chow, B Dai, L Li
arXiv preprint arXiv:1906.04733, 2019
592019
Online modified greedy algorithm for storage control under uncertainty
J Qin, Y Chow, J Yang, R Rajagopal
IEEE Transactions on Power Systems 31 (3), 1729-1743, 2015
482015
Lyapunov-based safe policy optimization for continuous control
Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh
arXiv preprint arXiv:1901.10031, 2019
442019
Policy gradient for coherent risk measures
A Tamar, Y Chow, M Ghavamzadeh, S Mannor
arXiv preprint arXiv:1502.03919, 2015
392015
Distributed online modified greedy algorithm for networked storage operation under uncertainty
J Qin, Y Chow, J Yang, R Rajagopal
IEEE Transactions on Smart Grid 7 (2), 1106-1118, 2015
302015
Weighted SGD for ℓp regression with randomized preconditioning
J Yang, YL Chow, C Ré, MW Mahoney
The Journal of Machine Learning Research 18 (1), 7811-7853, 2017
282017
Sequential decision making with coherent risk
A Tamar, Y Chow, M Ghavamzadeh, S Mannor
IEEE Transactions on Automatic Control 62 (7), 3323-3338, 2016
282016
Algaedice: Policy gradient from arbitrary experience
O Nachum, B Dai, I Kostrikov, Y Chow, L Li, D Schuurmans
arXiv preprint arXiv:1912.02074, 2019
252019
A framework for time-consistent, risk-averse model predictive control: Theory and algorithms
YL Chow, M Pavone
2014 American Control Conference, 4204-4211, 2014
232014
A framework for time-consistent, risk-sensitive model predictive control: Theory and algorithms
S Singh, Y Chow, A Majumdar, M Pavone
IEEE Transactions on Automatic Control 64 (7), 2905-2912, 2018
202018
Path consistency learning in tsallis entropy regularized mdps
Y Chow, O Nachum, M Ghavamzadeh
International Conference on Machine Learning, 979-988, 2018
162018
Stochastic optimal control with dynamic, time-consistent risk constraints
YL Chow, M Pavone
2013 American Control Conference, 390-395, 2013
162013
Trading safety versus performance: Rapid deployment of robotic swarms with robust performance constraints
YL Chow, M Pavone, BM Sadler, S Carpin
Journal of Dynamic Systems, Measurement, and Control 137 (3), 2015
152015
CAQL: Continuous action Q-learning
M Ryu, Y Chow, R Anderson, C Tjandraatmadja, C Boutilier
arXiv preprint arXiv:1909.12397, 2019
142019
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