Jose Blanchet

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Generalization Bounds

Sample Complexity

Top Venues

Publications

Jose Blanchet, Miao Lu, Tong Zhang, Han Zhong
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage. CoRR (2023)
Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou
A Finite Sample Complexity Bound for Distributionally Robust Q-learning. CoRR (2023)
Shengbo Wang, Jose Blanchet, Peter W. Glynn
Optimal Sample Complexity of Reinforcement Learning for Uniformly Ergodic Discounted Markov Decision Processes. CoRR (2023)
Xinru Hua, Huanzhong Xu, Jose Blanchet, Viet Nguyen
Human Imperceptible Attacks and Applications to Improve Fairness. CoRR (2021)
Huanzhong Xu, Jose Blanchet, Marcos Paul Gerardo-Castro, Shreyasha Paudel
Measuring Reliability of Object Detection Algorithms for Automated Driving Perception Tasks. WSC (2021)
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose Blanchet
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. CoRR (2021)