Author

Kangning Zhang

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Preprint Aug 2026

Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation

This work proposes Hint-Conditioned Generative Recommendation (HCGRec), a semantic-ID generative recommendation framework that recovers learning signal for such hard training instances and introduces hint-aware credit decomposition, using supervised learning to preserve item-semantic and prefix-structure alignment for...

Kang-Ning Zhang, Hao Fang, Xukun Luo et al. · 0 citations

Preprint Aug 2026

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories

This work introduces Harness-R1, the first method, to the authors' knowledge, that makes failure-conditioned, lifecycle-wide editing of an existing executable runtime a learned capability, and post-trains a dedicated harness engineer with online reinforcement learning so that its edits are optimized for the realized ta...

Shuai Shao, Kangning Zhang, Qingyao Li et al. · 10 citations · ⚡2

#artificial intelligence Preprint Aug 2026

SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents

SkillGate lifts a 9B policy from 40.8% to 53.2% trial success, well ahead of the identical budget spent on outcome reward alone, while cutting exposure to misleading candidates by two thirds and reading fewer skills.

Qingyao Li, Wenxiang Jiao, Shuai Shao et al. · 2 citations