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- W1540245649 abstract "In this paper the infinite horizon optimal regulation problem is solved online for a deterministic control-affine nonlinear dynamical system using the state following (StaF) kernel method to approximate the value function. Unlike traditional methods that aim to approximate a function over a large compact set, the StaF kernel method aims to approximate a function in a small neighborhood of a state that travels within a compact set. Simulation results demonstrate that stability and approximate optimality of the control system can be achieved with significantly fewer basis functions than may be required for global approximation methods." @default.
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- W1540245649 date "2016-12-01" @default.
- W1540245649 modified "2023-10-18" @default.
- W1540245649 title "Efficient model-based reinforcement learning for approximate online optimal control" @default.
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- W1540245649 doi "https://doi.org/10.1016/j.automatica.2016.08.004" @default.
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