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The neighbor Q‐learning based consensus control algorithm is developed for discrete‐time multi‐agent systems in this article. To realize the proposed algorithm, a new actor‐critic architecture is employed for each agent. The critic network of each agent approximates its Q‐function while the actor network produces control signal by minimizing the Q‐function. Considering the distribution metrics of...
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