Yinlam Chow
机构: Research Scientist, Google Research
每年引用次数
引用次数
引用: 4,250
H-指数: 26
I10-指数 : 42
出版物: 81
Stochastic optimal control with dynamic, time-consistent risk constraints
Yin-Lam Chow , Marco Pavone
american control conference 390 -395
12
2013
A uniform-grid discretization algorithm for stochastic optimal control with risk constraints
Yin-Lam Chow , Marco Pavone
conference on decision and control 2465 -2470
3
2013
Preference Elicitation with Soft Attributes in Interactive Recommendation
FAN YAO , YINLAM CHOW , ALEX HAIG , CHIH-WEI HSU
Neural Network Robust Reinforced Learning Controller Synthesis For Some Special Classes Of Nonlinear Systems
Yin-lam Chow
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Marco Pavone , Aviv Tamar , Yinlam Chow , Shie Mannor
arXiv: Artificial Intelligence
265
2015
Algorithms for CVaR Optimization in MDPs
Mohammad Ghavamzadeh , Yinlam Chow
neural information processing systems 27 3509 -3517
64
2014
Policy gradient for coherent risk measures
Mohammad Ghavamzadeh , Aviv Tamar , Yinlam Chow , Shie Mannor
neural information processing systems 28 1468 -1476
26
2015
Sequential Multiple Hypothesis Testing with Type I Error Control.
Mohammad Ghavamzadeh , Alan Malek , Yinlam Chow , Sumeet Katariya
international conference on artificial intelligence and statistics 1468 -1476
7
2017
Path Consistency Learning in Tsallis Entropy Regularized MDPs
Mohammad Ghavamzadeh , Yinlam Chow , Ofir Nachum
arXiv: Artificial Intelligence
28
2018
Imitation Learning from Visual Data with Multiple Intentions
Aviv Tamar , Yinlam Chow , Michael Kahane , Khashayar Rohanimanesh
international conference on learning representations
5
2018
Risk-Sensitive Generative Adversarial Imitation Learning
Mohammad Ghavamzadeh , Marco Pavone , Yinlam Chow , Jonathan Lacotte
international conference on artificial intelligence and statistics 2154 -2163
26
2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Mohammad Ghavamzadeh , Yinlam Chow , Yangyang Xu , Bo Liu
neural information processing systems 31 1065 -1075
12
2018
Lyapunov-based Safe Policy Optimization for Continuous Control
Mohammad Ghavamzadeh , Yinlam Chow , Aleksandra Faust , Edgar Duenez-Guzman
arXiv: Learning
164
2019
Lyapunov-based Safe Policy Optimization
Mohammad Ghavamzadeh , Yinlam Chow , Ofir Nachum , Edgar Guzman-Duenez
2018
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Bo Dai , Yinlam Chow , Lihong Li , Ofir Nachum
arXiv: Learning
220
2019
More Robust Doubly Robust Off-policy Evaluation
Mohammad Ghavamzadeh , Mehrdad Farajtabar , Yinlam Chow
international conference on machine learning 1446 -1455
191
2018
Safe Policy Improvement by Minimizing Robust Baseline Regret
Mohammad Ghavamzadeh , Marek Petrik , Yinlam Chow
neural information processing systems 29 2298 -2306
35
2016
A Lyapunov-based Approach to Safe Reinforcement Learning
Mohammad Ghavamzadeh , Yinlam Chow , Edgar A. Duéñez-Guzmán , Ofir Nachum
neural information processing systems 31 8092 -8101
379
2018
CAQL: Continuous Action Q-Learning
Craig Boutilier , Ross Anderson , Yinlam Chow , Moonkyung Ryu
arXiv: Learning
32
2019
AlgaeDICE: Policy Gradient from Arbitrary Experience.
Dale Schuurmans , Bo Dai , Yinlam Chow , Lihong Li
arXiv: Learning
137
2019