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有關 Interpolation-based Q-learning. 的學術文章 | |
Interpolation-based Q-learning - Szepesvári - 112 個引述 Fuzzy rule interpolation-based Q-learning - Vincze - 46 個引述 … interpolation-based Q-learning with continuous states … - Horiuchi - 70 個引述 | |
Interpolation-based Q-learning
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由 C Szepesvári 著作被引用 112 次 — We consider a variant of Q-learning in con- tinuous state spaces under the total expected discounted cost criterion combined with lo-.
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Interpolation-based Q-learning
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由 C Szepesvári 著作2004被引用 112 次 — We consider a variant of Q-learning in con- tinuous state spaces under the total expected discounted cost criterion combined with lo-.
Interpolation-based Q-learning - ACM Digital Library
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由 C Szepesvári 著作2004被引用 112 次 — We consider a variant of Q-learning in continuous state spaces under the total expected discounted cost criterion combined with local function approximation ...
Fuzzy Rule Interpolation-based Q-learning
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由 D Vincze 著作2009被引用 46 次 — A method called Q-learning can be used for building up the state-action-value function. This method uses discrete states. With the application of fuzzy ...
Interpolation-based Q-learning
HUN-REN SZTAKI
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HUN-REN SZTAKI
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由 C Szepesvári 著作被引用 112 次 — X – state space. A – action space p – transition kernel (dynamics) r – immediate rewards. ○ Continuous State Space. ○ Unknown Dynamics ...
[PDF] Interpolation-based Q-learning
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A new convergent variant of Q-learning with linear function approximation · Computer Science, Mathematics. Neural Information Processing Systems · 2020.
Fuzzy Rule Interpolation-based Q-learning
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由 D VINCZE 著作被引用 46 次 — This chapter presents a novel reinforcement learning method based on fuzzy rule interpolation. First, reinforcement learning and one popular learning algorithm, ...
Fuzzy Interpolation-Based Q-Learning with
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由 T Horiuchi 著作1997被引用 13 次 — In this paper, we will introduce the idea of Profit Sharing. Plan (PSP) used in Classifier Systems into the Fuzzy. Interpolation-Based Q-Learning in order to ...
Interpolation-based Q-learning
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We consider a variant of Q-learning in continuous state spaces under the total expected discounted cost criterion combined with local function approximation ...
Reduced Rule Base in Fuzzy Rule Interpolation
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https://conf.uni-obuda.hu › cinti2009 › 49_cinti2...
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由 D Vincze 著作被引用 46 次 — The Fuzzy Rule Interpolation based Q-learning (FRIQ-learning) is an extension of the traditional fuzzy Q-learning method with the capability of handling sparse.