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ClawLoop: Self-Improving Agents via Harness-Native Training Loop

arXiv:2610.14118v1 Announce Type: new Abstract: 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-

arXiv cs.AIMittwoch 06:00 · 14.10.1 Min. Lesezeit

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Quelle: arXiv cs.AI (arXiv cs.AI). Original öffnen
ClawLoop: Self-Improving Agents via Harness-Native Training Loop · AI News