Qualitative Spatial Abstraction in Reinforcement Learning

Reinforcement learning has developed as a successful learning approach for domains that are not fully understood and that are too complex to be described in closed form. However, reinforcement learning does not scale well to large and continuous problems. 

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Auteur principal: Frommberger, Lutz
Format: Livre
Langue:English
Publié: Springer 2012
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Accès en ligne:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30496
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