Abstract: This article addresses the adaptive optimized consensus tracking control problem of nonlinear multiagent systems (MASs) via a reinforcement learning (RL) algorithm. Specifically, the ...
Abstract: We utilize hybrid quantum deep reinforcement learning to learn navigation tasks for a simple, wheeled robot in simulated environments of increasing complexity. For this, we train ...
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