Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption

Chenlu Ye, Jiafan He, Quanquan Gu +1

This study tackles the challenges of adversarial corruption in model-based reinforcement learning (RL), where the transition dynamics can be corrupted by an adversary. Existing stu…