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Qing-Lin Chen

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#artificial intelligence Preprint Oct 2026

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...

Haoxiang Zhang, Qing-Lin Chen, Hiroaki Hayashi et al. · 1 citation
#artificial intelligence Preprint Oct 2026

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

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...

Jia-Xin Zhang, Xiang-Yu Peng, Qing-Lin Chen et al. · 0 citations

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