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stat.ML2025
Actor-Critics Can Achieve Optimal Sample Efficiency
Kevin Tan, Wei Fan, Yuting Wei
Actor-critic algorithms have become a cornerstone in reinforcement learning (RL), leveraging the strengths of both policy-based and value-based methods. Despite recent progress in…
stat.ML2025
Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning
Weichen Wu, Yuting Wei, Alessandro Rinaldo
We establish novel and general high-dimensional concentration inequalities and Berry-Esseen bounds for vector-valued martingales induced by Markov chains. We apply these results to…
stat.ML2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs
Kevin Tan, Wei Fan, Yuting Wei
Hybrid Reinforcement Learning (RL), where an agent learns from both an offline dataset and online explorations in an unknown environment, has garnered significant recent interest.…