2 papers
cs.MA2025
Distributed scalable coupled policy algorithm for networked multi-agent reinforcement learning
Pengcheng Dai, Dongming Wang, Wenwu Yu +1
This paper studies networked multi-agent reinforcement learning (NMARL) with interdependent rewards and coupled policies. In this setting, each agent's reward depends on its own st…
cs.MA2025
Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning
Pengcheng Dai, Yuanqiu Mo, Wenwu Yu +1
This paper studies the networked multi-agent reinforcement learning (NMARL) problem, where the objective of agents is to collaboratively maximize the discounted average cumulative…