Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning

Zeyu Jiang, Hai Huang, Xingquan Zuo

Deep reinforcement learning (DRL) has successfully addressed many complex control problems. However, the neural networks representing policies or values remain opaque, undermining…