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Browsing by Subject "Q-Learning"

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  • thumbnail.journal.alt
    Item type:Thesis, Access status: Restricted ,
    Application of artificial intelligence in selected issues of game theory
    (Data obrony: 2016-09-19) Słyś, Przemysław
    Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Enhancements of Fuzzy Q-Learning algorithm
    (2005) Głowaty, Grzegorz
    Fuzzy Q-Learning algorithm combines reinforcement learning techniques with fuzzy modelling. It provides a flexible solution for automatic discovery of rules for fuzzy systems in the process of reinforcement learning. In this paper we propose several enhancements to the original algorithm to make it more performant and more suitable for problems with continuous-input continuous-output space. Presented improvements involve generalization of the set of possible rule conclusions. The aim is not only to automatically discover an appropriate rule-conclusions assignment, but also to automatically define the actual conclusions set given the all possible rules conclusions. To improve algorithm performance when dealing with environments with inertness, a special rule selection policy is proposed.
  • thumbnail.journal.alt
    Item type:Thesis, Access status: Restricted ,
    Road traffic modelling
    (Data obrony: 2021-01-25) Krzyżak, Paweł
    Wydział Informatyki, Elektroniki i Telekomunikacji