9 citations · 26 across the 5 of their papers we have counts for
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cs.MA2022★ 2 cited
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
Zhixuan Liang, Jiannong Cao, Shan Jiang +2
Many real-world applications can be formulated as multi-agent cooperation problems, such as network packet routing and coordination of autonomous vehicles. The emergence of deep re…
cs.MA2022★ 5 cited
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
Zhiuxan Liang, Jiannong Cao, Shan Jiang +3
Multi-agent reinforcement learning (MARL) has been gaining extensive attention from academia and industries in the past few decades. One of the fundamental problems in MARL is how…