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This paper relieves the “curse of dimensionality” problem, which becomes intractable when scaling reinforcement learning to multi-agent systems. This problem is aggravated exponentially as the number of agents increases, resulting in large memory requirement and slowness in learning speed. For cooperative systems which are widely existed in multi-agent systems, this paper proposes a new multi-agent...
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