52 citations · 176 across the 14 of their papers we have counts for
4 papers · 1 filter
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
Zican Hu, Zongzhang Zhang, Huaxiong Li +3
Real-world multi-agent tasks usually involve dynamic team composition with the emergence of roles, which should also be a key to efficient cooperation in multi-agent reinforcement…
Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering
Wei Lv, Chao Zhang, Huaxiong Li +2
Incomplete multi-view clustering (IMVC) has received increasing attention since it is often that some views of samples are incomplete in reality. Most existing methods learn simila…
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning
Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu +2
In cooperative multi-agent reinforcement learning (MARL), the environmental stochasticity and uncertainties will increase exponentially when the number of agents increases, which p…
NQ: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
Value decomposition is widely used in cooperative multi-agent reinforcement learning, however, its implicit credit assignment mechanism is not yet fully understood due to black-box…