V-Learning—A Simple, Efficient, Decentralized Algorithm for Multiagent RL
berkeley.edu
V-Learning—A Simple, Efficient, Decentralized Algorithm for Multiagent RL
A major challenge of multiagent reinforcement learning (MARL) is the curse of multiagents, where the size of the joint action space scales exponentially with the number of agents. This remains to be a bottleneck for designing efficient MARL algorithms even in a basic scenario with finitely many states and actions. This paper resolves this ...
2021年11月15日
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