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Ying-Hao Li

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Preprint Sep 2026

Multi-Harness Reinforcement Learning for Coding Agents: Training Gains and Harness Dependence

Recent systems train coding agents with reinforcement learning (RL) on trajectories collected through multiple execution harnesses. However, gains under the training harnesses leave open whether the improvements transfer to unseen interfaces and how they depend on reward normalization. We present a controlled study tha...

Chen-Qian Le, Jia-Yi Cheng, Qi-Jia He et al. · 1 citation
#artificial intelligence Preprint Sep 2026

What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding Agents

Agent reinforcement learning (RL) increasingly runs through full execution harnesses, and a multi-harness recipe mixes two choices: exposing the policy to several harnesses, and comparing their rewards inside one relative-advantage group. We isolate the second choice in repository-level coding. From one Qwen3-8B superv...

Chen-Qian Le, Jia-Yi Cheng, Qi-Jia He et al. · 1 citation

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