Maezawa Chikara

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We propose a new learning agent architecture for collaborative learning. To learn any complicated task in multi-agent environment, simple reinforcement architectures have limitations on learning. Therefore, we propose splitting learning mechanism into three separate layers to learn required behavior, which are respectively organized by the Classifier(More)
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