2 papers
cs.AI2025
LLM Collaboration With Multi-Agent Reinforcement Learning
Shuo Liu, Tianle Chen, Zeyu Liang +2
A large amount of work has been done in Multi-Agent Systems (MAS) for modeling and solving problems with multiple interacting agents. However, most LLMs are pretrained independentl…
cs.LG2024
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
Christopher Amato
Multi-agent reinforcement learning (MARL) has exploded in popularity in recent years. Many approaches have been developed but they can be divided into three main types: centralized…