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Shengbo Wang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Shengbo Wang
7
papers ·
8
citations ·
2
h-index
Beijing Information Science & Technology University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
2023 · 6 citations
Optimal Sample Complexity of Reinforcement Learning for Mixing Discounted Markov Decision Processes
2023 · 1 citations
Optimal Sample Complexity for Average Reward Markov Decision Processes
2023 · 1 citations
Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
2025
Sample Complexity of Variance-reduced Distributionally Robust Q-learning
2023
On the Foundation of Distributionally Robust Reinforcement Learning
2023
Learning Optimal Distributionally Robust Stochastic Control in Continuous State Spaces
2024
Top co-authors
Jose Blanchet
· 6
Nian Si
· 5
Zhengyuan Zhou
· 3
and Peter Glynn
· 2
and Zhengyuan Zhou
· 1
Jason Meng
· 1
Topics
Model-Based RL
Value-Based
Safe RL
Game AI
Policy Gradient
Multi-Agent