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We recently proposed swarm reinforcement learning methods in which multiple sets of an agent and an environment are prepared and the agents learn not only by individually performing a usual reinforcement learning method but also by exchanging information among them. Q-learning method has been used as the individual learning in the methods, and they have been applied to a problem with discrete state-action...
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