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stat.ML2026
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.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…