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Jose Blanchet — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jose Blanchet
17
papers ·
27
citations ·
28
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
2023 · 6 citations
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
2023 · 2 citations
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
2022 · 1 citations
Single-Trajectory Distributionally Robust Reinforcement Learning
2023 · 1 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
Sample Complexity of Variance-reduced Distributionally Robust Q-learning
2023
On the Foundation of Distributionally Robust Reinforcement Learning
2023
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
2024
Learning Optimal Distributionally Robust Stochastic Control in Continuous State Spaces
2024
Top co-authors
Shengbo Wang
· 6
Nian Si
· 4
Zhengyuan Zhou
· 4
and Peter Glynn
· 2
Han Zhong
· 2
Jiheng Zhang
· 2
Xiaoteng Ma
· 2
Zhipeng Liang
· 2
and Zhengyuan Zhou
· 1
Jason Meng
· 1
Li Xia
· 1
Miao Lu
· 1
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