Explainable Reinforcement Learning via a Causal World Model

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Generating explanations for reinforcement learning (RL) is challenging as actions may produce long-term effects on the future. In this paper, we develop a novel framework for expla…