Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy ...
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In this paper, an adaptive kernel-width selection method is proposed for the KLSPI algorithm. Firstly, a sparsification procedure with neighborhood analysis ...
In this paper, an adaptive kernel-width selection method is proposed for the KLSPI algorithm. Firstly, a sparsification procedure with neighborhood analysis ...
In this paper, an adaptive kernel-width selection method is proposed for the KLSPI algorithm. Firstly, a sparsification procedure with neighborhood analysis ...
In this paper, an adaptive kernel-width selection method is proposed for the KLSPI algorithm. Firstly, a sparsification procedure with neighborhood analysis ...
Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm · Jun WuXin XuL. ZuoZhaobin LiJian Wang. Computer Science. ISNN. 2011.
Sep 5, 2023 · In this kernel based method, the kernel width will affect the approximation ability of the model. Therefore, in the recursive process of KRLS, ...
Oct 22, 2024 · In this paper, we present a kernel-based least squares policy iteration (KLSPI) algorithm for reinforcement learning (RL) in large or ...
Jan 29, 2016 · This paper discusses a unified framework for kernel online learning (KOL) algorithm with adaptive kernels. Unlike the traditional KOL ...
Jul 1, 2007 · Adaptive kernel-width selection for kernel-based least-squares policy iteration algorithm. ISNN'11: Proceedings of the 8th international ...
A sequential optimization strategy is proposed, and a new algorithm is developed, in which the filter weights and the kernel size are both sequentially updated ...
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