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Yinlam Chow — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yinlam Chow
22
papers ·
547
citations ·
17
h-index
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Most-cited papers
Lyapunov-based Safe Policy Optimization for Continuous Control
2019 · 154 citations
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
2019 · 90 citations
AlgaeDICE: Policy Gradient from Arbitrary Experience
2019 · 82 citations
A Lyapunov-based Approach to Safe Reinforcement Learning
2018 · 78 citations
Safe Policy Improvement by Minimizing Robust Baseline Regret
2016 · 68 citations
CAQL: Continuous Action Q-Learning
2019 · 14 citations
CoinDICE: Off-Policy Confidence Interval Estimation
2020 · 12 citations
More Robust Doubly Robust Off-policy Evaluation
2018 · 10 citations
Path Consistency Learning in Tsallis Entropy Regularized MDPs
2018 · 10 citations
Control-Aware Representations for Model-based Reinforcement Learning
2020 · 8 citations
Safe Reinforcement Learning with Natural Language Constraints
2020 · 7 citations
Efficient Risk-Averse Reinforcement Learning
2022 · 5 citations
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition
2022 · 2 citations
Non-Stationary Off-Policy Optimization
2020 · 1 citations
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
2023 · 1 citations
Top co-authors
Mohammad Ghavamzadeh
· 6
Ofir Nachum
· 6
Craig Boutilier
· 4
and Mohammad Ghavamzadeh
· 2
Bo Dai
· 2
Dale Schuurmans
· 2
Edgar A. Duéñez‐Guzmán
· 2
Guy Tennenholtz
· 2
Lihong Li
· 2
Aleksandra Faust
· 1
Amr Ahmed
· 1
and Nevan Wichers
· 1
Topics
Offline RL
Value-Based
Safe RL
Model-Based RL
Policy Gradient
Meta-RL
Exploration
RLHF & Alignment