Author

Jiajun Zhang

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Preprint Aug 2026

EDGE: Experience-Distillation for Guided Exploration in Agentic Reinforcement Learning

This work proposes EDGE (Experience-Distillation for Guided Exploration), a framework that treats retrieved experiences as temporary training-time scaffolds and progressively internalizes their benefits into the parametric policy.

Can Xie, Yu-Yi Zhou, Wen Yang et al. · 1 citation