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cs.LG2023
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou +3
Off-policy dynamic programming (DP) techniques such as -learning have proven to be important in sequential decision-making problems. In the presence of function approximation, h…
cs.LG2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
Runlong Zhou, Zihan Zhang, Simon S. Du
We study variance-dependent regret bounds for Markov decision processes (MDPs). Algorithms with variance-dependent regret guarantees can automatically exploit environments with low…