SPOT: Sampling Policy Observation Tree provides lookahead explanations for deep reinforcement learning policies.
Read the original at arxiv.org→arXiv:2608.09967v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) agents achieve strong performance in complex environments, yet their decision-making processes remain difficult to interpret. We...
Original headline: "SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning"
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- Aug 12, 04:00 UTC arXiv cs.AI lead source SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning