arXiv paper proposes inductive logic programming for explainable reinforcement learning
Read the original at arxiv.org→arXiv:2607.13655v1 Announce Type: new Abstract: Explainable Reinforcement Learning (XRL) seeks to make Reinforcement Learning (RL) policies more transparent and interpretable, a key requirement in safety-critical...
Original headline: "Explaining Reinforcement Learning Agents via Inductive Logic Programming"