ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies

Ignacio D. Lopez-Miguel, Ezio Bartocci, Thomas Eiter +1

Explainability remains a key issue in reinforcement learning (RL). Distilling an interpretable policy from an agent trained in a complex environment is particularly challenging whe…