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Articles

ClawGym II: Exploring Black-Box RL on Agent Harness

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By Fei Bai, Ming Yang, Huatong Song
| huggingface.co
Abstract A unified black-box reinforcement learning framework enables stable, scalable optimization of general agents through complex harnesses via sandbox execution, trajectory reconstruction, and mix-harness training. Agent harnesses have substantially improved performance on long-horizon tasks by coordinating agent interactions with the environment.
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