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EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving Agents
Long-horizon LLM agents increasingly rely on external execution support to maintain state, track progress, recover from failures, and reuse experience across extended interactions. Yet existing harnesses and their use are often tailored to environments and controlled through prompts, heuristics, or
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