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Hengshuai Yao — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Hengshuai Yao
14
papers ·
114
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Distributional Reinforcement Learning for Efficient Exploration
2019 · 30 citations
Discounted Reinforcement Learning Is Not an Optimization Problem
2019 · 27 citations
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
2019 · 23 citations
Hill Climbing on Value Estimates for Search-control in Dyna
2019 · 8 citations
Deep Reinforcement Learning with Decorrelation
2019 · 7 citations
Breaking the Deadly Triad with a Target Network
2021 · 5 citations
QUOTA: The Quantile Option Architecture for Reinforcement Learning
2018 · 4 citations
Variance-Reduced Off-Policy Memory-Efficient Policy Search
2020 · 4 citations
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
2018 · 3 citations
Single-step Options for Adversary Driving
2019
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure
2022
Careful at Estimation and Bold at Exploration
2023
Top co-authors
Borislav Mavrin
· 3
Linglong Kong
· 3
Shangtong Zhang
· 3
Bo Liu
· 2
Hechang Chen
· 2
Shimon Whiteson
· 2
Xing Chen
· 2
Yi Chang
· 2
Abhishek Naik
· 1
Amir-massoud Farahmand
· 1
Bei Jiang
· 1
Bo Liu
· 1
Topics
Value-Based
Exploration
Policy Gradient
Model-Based RL
Safe RL
Offline RL
Game AI
Multi-Agent