2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Group-Agent Reinforcement Learning with Heterogeneous Agents
Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu
Group-agent reinforcement learning (GARL) is a newly arising learning scenario, where multiple reinforcement learning agents study together in a group, sharing knowledge in an asyn…
cs.LG2022★ 2 cited
Group-Agent Reinforcement Learning
Kaiyue Wu, Xiao-Jun Zeng
It can largely benefit the reinforcement learning (RL) process of each agent if multiple geographically distributed agents perform their separate RL tasks cooperatively. Different…