From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems
Researchers have developed a three-stage method that translates a trained deep reinforcement learning policy into an executable Prolog program, making AI decisions readable, runnable, and editable by humans.
