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Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning
In this method, iterative update can greatly alleviate the nonstationarity of the environment, unified representation can speed up the interaction with environment and avoid the linear growth of memory usage.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
