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Mastering Complex Coordination through Attention-based Dynamic Graph
The coordination between agents in multi-agent systems has become a popular topic in many fields.
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Value decomposition methods have gained popularity in the field of cooperative multi-agent reinforcement learning.
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Almost all multi-agent reinforcement learning algorithms without communication follow the principle of centralized training with decentralized execution.
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