Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps.

arXiv:2610.02740v1 Announce Type: cross Abstract: Reinforcement learning for long-horizon agents relies on purely retrospective training signals: credit is assigned only after observing environmental consequences, leaving the agent's belief at action time invi