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.
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