Interpretable reinforcement learning with decision-tree pruning

Mark Leon Ringer, Michel Tokic

Reinforcement learning policies are difficult to inspect, but interpreting them is a prerequisite for trustworthiness. Converting a trained policy into explicit decision-tree rules…