How to optimize LLM agent cooperation?
CAPO: COOPERATIVE PLAN OPTIMIZATION FOR EFFICIENT EMBODIED MULTI-AGENT COOPERATION
November 8, 2024
https://arxiv.org/pdf/2411.04679This paper introduces CaPo, a framework for improving the cooperation efficiency of LLM-based embodied agents in accomplishing shared tasks. CaPo enables agents to collaboratively create a long-term "meta-plan" and dynamically adapt it based on task progress, improving coordination and reducing redundant actions. Key features include multi-turn discussions for meta-plan creation and refinement, progress-triggered meta-plan updates, and distinct roles for agents (meta-plan designer and evaluators). This approach promotes more strategic and coherent collaboration compared to existing methods that rely on short-term or individual planning.