Hector Kohler

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop

2024 · arXiv (Cornell University)

Embracing the pursuit of intrinsically explainable reinforcement learning raises crucial questions: what distinguishes explainability from interpretability? Should explainable and interpretable agents be developed outside of domains where transparency is imperative? What advantages do interpretable policies …