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.AI2024
On Centralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Andrea Baisero, Yuchen Xiao +2
Centralized Training for Decentralized Execution where agents are trained offline in a centralized fashion and execute online in a decentralized manner, has become a popular approa…