Explainable RL via Prolog and ILP proposed in new papers
Two arXiv papers propose using logic programming to explain reinforcement learning policies: one extracts Prolog rules from black-box agents, the other uses inductive logic programming. The approaches aim to make decisions in safety-critical scenarios transparent.
People · Eduardo C. Garrido-Merchán
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