Robust Offline Reinforcement learning with Heavy-Tailed Rewards

Jin Zhu, Runzhe Wan, Zhengling Qi +2

This paper endeavors to augment the robustness of offline reinforcement learning (RL) in scenarios laden with heavy-tailed rewards, a prevalent circumstance in real-world applicati…