Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games
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DOI: 10.1109/tnnls.2016.2609500
Abstract: This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete… read more here.
Keywords: policy; policy reinforcement; synchronization multiagent; reinforcement learning ... See more keywords