Filtros : "Financiamento IBM" "Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)" "Springer" Removidos: "MILHO" "Duarte, Marco Antonio Hungaro" "FERRAZ, KATIA MARIA PASCHOALETTO MICCHI DE BARROS" "Nova Zelândia" Limpar

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  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME

    Assunto: CONTROLE ÓTIMO

    Acesso à fonteDOIHow to cite
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    • ABNT

      LOVATTO, Ângelo Gregório e BARROS, Leliane Nunes de e MAUÁ, Denis Deratani. Exploration versus exploitation in model-based reinforcement learning: an empirical study. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_3. Acesso em: 14 out. 2024.
    • APA

      Lovatto, Â. G., Barros, L. N. de, & Mauá, D. D. (2022). Exploration versus exploitation in model-based reinforcement learning: an empirical study. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-21689-3_3
    • NLM

      Lovatto ÂG, Barros LN de, Mauá DD. Exploration versus exploitation in model-based reinforcement learning: an empirical study [Internet]. Proceedings. 2022 ;[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_3
    • Vancouver

      Lovatto ÂG, Barros LN de, Mauá DD. Exploration versus exploitation in model-based reinforcement learning: an empirical study [Internet]. Proceedings. 2022 ;[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_3

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