Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs

Hector Kohler, Quentin Delfosse, Waris Radji +2

There exist applications of reinforcement learning like medicine where policies need to be ''interpretable'' by humans. User studies have shown that some policy classes might be mo…