5 citations · 11 across the 8 of their papers we have counts for
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cs.RO2023★ 4 cited
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Shanqi Liu, Yujing Hu, Runze Wu +5
Real-world cooperation often requires intensive coordination among agents simultaneously. This task has been extensively studied within the framework of cooperative multi-agent rei…
cs.RO2020
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Shanqi Liu, Licheng Wen, Jinhao Cui +3
Multi-agent path finding in formation has many potential real-world applications like mobile warehouse robots. However, previous multi-agent path finding (MAPF) methods hardly take…