Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees
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Cites background from "Performance and safety of Bayesian ..."
...For decades, this has been a major concern when control systems incorporate forms of adaptation or learning (Anderson, 2005; Garcıa and Fernández, 2015; Hewing et al., 2020; Wabersich and Zeilinger, 2020)....
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...For decades, this has been a major concern when control systems incorporate forms of adaptation or learning (Anderson, 2005; Garcıa and Fernández, 2015; Hewing et al., 2020; Wabersich and Zeilinger, 2020)....
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References
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"Performance and safety of Bayesian ..." refers methods in this paper
...By relying on approximate stochastic dynamic programming [16], these MPC-based techniques are closely related to reinforcement learning concepts, see e....
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11,507 citations
"Performance and safety of Bayesian ..." refers background in this paper
...) [42] with given hyper-parameters Wi and unknown parameters C....
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7,966 citations
"Performance and safety of Bayesian ..." refers methods in this paper
...All examples are implemented using the Casadi framework [39] together with the IPOPT solver [40]....
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"Performance and safety of Bayesian ..." refers background in this paper
...Particularly in the case of general, complex, and safety-critical control problems, model predictive control (MPC) techniques [5, 6, 7] have shown significant impact on both, industrial and research-driven applications, see also Figure 1....
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