الباحثون

Qinglin Chen

المنشورات 2

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Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight

Reinforcement learning with verifiable rewards (RLVR) turns agent experience into learning signals primarily through scalar outcome rewards after interaction. For group-relative objectives, however, this signal vanishes when all rollouts receive the same reward, even though their trajectories may reveal useful informat …

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

Jiaxin Zhang, Xiangyu Peng, Qinglin Chen وآخرون · 2026

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 invisible to the gradient. We introduce Prospective Hindsight (PH), a self-calibrating training principle that aug …

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