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arxiv_agent_systems_research · Oct 27, 2026 · paper

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CoHARL: Co-Evolving Agent Policies and Executable Harnesses with Reinforcement Learning

arxiv.orgOct 27, 2026
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Large language model (LLM) agents interact with their environments through executable harnesses that govern tool use and feedback. Optimizing a harness for a fixed policy overlooks how its behavior changes during lear...

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CoHARL: Co-Evolving Agent Policies and Executable Harnesses with Reinforcement Learning

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