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📡 RSS: SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning — 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 introduce SPOT (Sampling Policy Observation Tree), a novel model-agnostic, sampling-base