📡 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

Created: 8/12/2026, 4:06:45 AM · Connections: 0