ClawLoop: Self-Improving Agents via Harness-Native Training Loop
The rapid advancement of Large Language Models (LLMs) has driven their deployment toward general-purpose harness environments, where LLM-based agents operate in sandbox workspaces and interact directly with file systems and shells. While numerous post-training pipelines exist for tool-use agents, their counterparts for...
Han-Si Yang, Lin-Ji Hao, Hong-Yan Hao et al.
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