2 papers
cs.LG2024
A Fast Convergence Theory for Offline Decision Making
Chenjie Mao, Qiaosheng Zhang
This paper proposes the first generic fast convergence result in general function approximation for offline decision making problems, which include offline reinforcement learning (…
cs.LG2023
Offline Reinforcement Learning with Additional Covering Distributions
Chenjie Mao
We study learning optimal policies from a logged dataset, i.e., offline RL, with function approximation. Despite the efforts devoted, existing algorithms with theoretic finite-samp…