Zachary Andrew Roch

A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward

Robust reinforcement learning (RL) under the average reward criterion, which seeks to optimize long-term system performance in uncertain environments, remains a largely unexplored area. To address this challenge, we propose a reduction-based framework that transforms robust average reward optimizati…