Anton Kabysh

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This paper presents an application of the multi-agent reinforcement learning approach for the efficient control of a mobile robot. This approach is based on a multi-agent system applied to multi-wheel control. The robot's platform is decomposed into driving modules agents that are trained independently. The proposed approach incorporates multiple Q-learning(More)
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