This paper introduces activation rate, feature coverage, syntactic distance, and semantic distance as objective metrics for logic-rule explanations of RL and multi-agent RL policies.
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Explaining Reinforcement Learning Agents via Inductive Logic Programming
This paper introduces activation rate, feature coverage, syntactic distance, and semantic distance as objective metrics for logic-rule explanations of RL and multi-agent RL policies.