How to plan collision-free paths for multiple agents?
Markov Potential Game with Final-Time Reach-Avoid Objectives
October 24, 2024
https://arxiv.org/pdf/2410.17690- This research focuses on coordinating multiple agents (like drones) to reach their individual goals while avoiding collisions, particularly in scenarios with limited communication.
- The paper adapts principles from game theory (specifically "Markov potential games") to find efficient movement strategies for each agent, even with only local information.
- While not directly using LLMs, the core idea of decentralized decision-making based on local information and a shared objective function is relevant for building LLM-based multi-agent systems where constant communication isn't feasible.
- The paper's focus on mathematically guaranteeing safety and collision avoidance is also pertinent to real-world applications of LLM agents.