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13 Feb 2023: may be updated in O(K2) time. However, the remain-ing matrix products require O(N 2K) and O(N 2D) op-erations respectively.

13 Feb 2023: Rasmussen1,2. Abstract— In general, it is difficult to determine an op-timal closed-loop policy in nonlinear control problems withcontinuous-valued state and control domains.

13 Feb 2023: In Section 3, we review GPs and explainGPTS and ARGP. Learning via hyper-parameter op-timization is explained in Section 4.

27 Jan 2023: P Q R STU V WX Y. 9. AB C D EF G H IJK L M N OP Q R S TU V W X Y.

13 Feb 2023: may be updated in O(K2) time. However, the remain-ing matrix products require O(N 2K) and O(N 2D) op-erations respectively.

13 Feb 2023: q(xK1; xK , θ′, y) TK1(xK1; xK , θ′, θ̂(y)). q(x1; x2, θ′, y) T1(x1; x2, θ′, θ̂(y)) ,. (16). where Tk are the corresponding reverse transition ... This simulates an ideal casewhere the energy levels are close, or the transition op-erators

13 Feb 2023: Boyd, Stephen and Vandenberghe, Lieven. Convex Op-timization. Cambridge University Press, New York,NY, USA, 2004.

13 Feb 2023: directededge. This association is represented by the covarianceof ǫp and ǫj, vpj.

19 Jun 2024: classifier, we make onlyslight adjustments to the architecture including adding a newhidden layer, in order to enable the concurrent adversarial op-timization for fairness and accuracy.

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