How can decentralized agents efficiently navigate a continuous space to reach goals?
Decentralized Unlabeled Multi-Agent Navigation in Continuous Space
This paper tackles the problem of coordinating multiple agents to reach target destinations without collisions, without pre-assigned agent-goal pairings. Agents operate in a continuous space, using local communication and observation. A key contribution is a decentralized goal-exchanging mechanism, allowing agents to dynamically re-assign goals based on local information for better efficiency and collision avoidance. This method shows promising results compared to centralized approaches and other decentralized methods, particularly in complex environments. While not explicitly using LLMs, the decentralized, communicative, and dynamic nature of the goal assignment mechanism is relevant to LLM-based multi-agent systems, which often involve similar coordination and negotiation among agents. This research provides insights into effective decentralized control strategies that can be adapted for LLM agents needing flexible and robust coordination.