Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

Zhihao Ma, Yuzheng Zhuang, Paul Weng +4

Recent progress in deep reinforcement learning (DRL) can be largely attributed to the use of neural networks. However, this black-box approach fails to explain the learned policy i…