9 citations · 13 across the 4 of their papers we have counts for
Showing 2023Show all
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cs.LG2023★ 2 cited
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang, Haoran Xu, Yinan Zheng +1
Offline reinforcement learning (RL) has received considerable attention in recent years due to its attractive capability of learning policies from offline datasets without environm…
cs.LG2023
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization
Xiangsen Wang, Xianyuan Zhan
Offline reinforcement learning (RL) that learns policies from offline datasets without environment interaction has received considerable attention in recent years. Compared with th…
cs.MA2023★ 9 cited
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Xiaoyang Yu, Youfang Lin, Xiangsen Wang +2
Previous deep multi-agent reinforcement learning (MARL) algorithms have achieved impressive results, typically in homogeneous scenarios. However, heterogeneous scenarios are also v…