Abstract: In nonlinear control, barrier Lyapunov function is frequently utilized to handle state constraints; however, a feasibility condition for virtual signals often needs to be verified. In ...

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Abstract: We consider an off-policy reinforcement learning algorithm that gathers input and state data from a nonlinear system, and uses them to approximate the infinite-horizon optimal control for ...