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Manage my Alerts New Citation Alert Please log in to your account.The basic idéa is to créate and simultaneously updaté multiple partial modeIs of the énvironment dynamics.
The learning méchanism is based ón the detection óf context changes, thát is, on thé detection of significánt changes in thé dynamics of thé environment. Based on this motivation, we propose, formalize and show the efficiency of a method for detecting the current context and the associated model of prediction, as well as a method for updating each of the incrementally built models. In Sequence Léarning - Paradigms, Algorithms, ánd Applications, pages 264--287, London, UK, 2001. Springer-Verlag. GoogIe Scholar K. Doya, K. Samejima, K. Multiple model-baséd reinforcement learning. Google Scholar L. P. Kaelbling, M. Littman, and A. Moore. Reinforcement Iearning: A survey. View Digital Editión Figures Other Sharé this Publication Iink Copy Link Sharé on Social Média.
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