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News/Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents
arxiv
PublishedSeptember 3, 2026 at 4:00 AM

Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents

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Publisher summary· verbatim

arXiv:2609.02042v1 Announce Type: new Abstract: Large language model (LLM) agents for long-horizon interactive tasks typically follow a ReAct-style protocol, issuing one primitive action per LLM round. While this enables frequent replanning, it is inefficient for long-horizon tasks where many rounds

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