Author

Jinghao Lin

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Review Aug 2026

Agentic Reinforcement Learning with Self-Distilled Reward Shaping

ADRS is introduced, a framework for constructing return-associated token-level credit for multi-turn language agents that centers and normalizes privileged token scores within each step, modulates them with a return-associated Teacher Value Advantage gate based on within-group confidence--return association, and incorporates the gated token signal into native RL credit construction.

Ran Zhang, Guinan Chen, Chenshaodong et al. · 0 citations

Preprint Jul 2026

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade

The proposed LLM agent early-stopping cascade outperforms the best single-gate baseline in every model-environment pair, saving 1.5-8.8 times more compute at a 90% recall target.

Kai Ruan, Zihe Huang, Ziqi Zhou et al. · 1 citation