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Author

Xu-Cong Wang

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Preprint Aug 2026

DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training

DiDPO is proposed, a critic-free RL method that constructs fine-grained credit units directly from the structure of code diffs directly from the structure of code diffs, offering a principled framework for fine-grained credit assignment in coding agent training.

Xu-Cong Wang, Zhe Zhao, Li-Heng Yu et al. · 1 citation
Preprint Aug 2026

SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

SkillForge is proposed, a framework for continuous skill evolution that enables skills to be verified and refined through environment interaction and introduces evidence-based skill verification and multi-pathway skill induction, allowing the skill bank to continuously grow while maintaining its quality.

Shidong Yang, Ziyu Ma, Tongwen Huang et al. · 3 citations

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