Author

Xu-Cong Wang

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Preprint Aug 2026

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

Reinforcement learning with Verifiable Reward (RLVR) has emerged as a powerful paradigm for training coding agents, where the execution feedback from compilation and tests provides objective verification. However, unlike agent tasks, coding agents face a unique and finer-grained credit assignment challenge: at each ste...

Xu-Cong Wang, Zhe Zhao, Li-Heng Yu et al. · 0 citations

Preprint Aug 2026

SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

Large language model (LLM) agents are trained with reinforcement learning (RL) for complex decision-making tasks. However, most RL-trained agents remain episodic and cannot accumulate reusable knowledge across episodes. Recent skill-based approaches, such as SkillRL, attempt to address this issue by extracting skills f...

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