arXiv cs.AI
· Papers
From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems
arXiv:2607.15459v1 Announce Type: new Abstract: A trained deep reinforcement learning policy is a black box, and we ask whether it can be made explainable by rewriting it as an executable logic program that reproduces its behaviour and that a person can read, a logic engine can run, and an optimizer can edit. We presen