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

Yanting Yang, Can Jin, Jinman Zhao +6

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 frequen…