Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability

Jinwei Xing, Takashi Nagata, Xinyun Zou +2

Although deep Reinforcement Learning (RL) has proven successful in a wide range of tasks, one challenge it faces is interpretability when applied to real-world problems. Saliency m…