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Filtros : "BARROS, LELIANE NUNES DE" "Financiamento CAPES" "IME" Removidos: "CIENCIAS DE COMPUTACAO E ESTATISTICA" "Reino Unido" Limpar

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1 - 8 (8 records)

  • Trabalho de evento

    Exploration versus exploitation in model-based reinforcement learning: an empirical study (2022)

    Lovatto, Ângelo Gregório ; Barros, Leliane Nunes de ; Mauá, Denis Deratani

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

    Assunto: CONTROLE ÓTIMO

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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: 30 jul. 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 jul. 30 ] 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 jul. 30 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_3

  • Trabalho de evento

    Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments (2021)

    Lovatto, Ângelo Gregório ; Bueno, Thiago Pereira ; Barros, Leliane Nunes de

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

    Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      LOVATTO, Ângelo Gregório e BUENO, Thiago Pereira e BARROS, Leliane Nunes de. Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_3. Acesso em: 30 jul. 2024.

    • APA

      Lovatto, Â. G., Bueno, T. P., & Barros, L. N. de. (2021). Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-91702-9_3

    • NLM

      Lovatto ÂG, Bueno TP, Barros LN de. Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments [Internet]. Proceedings. 2021 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_3

    • Vancouver

      Lovatto ÂG, Bueno TP, Barros LN de. Gradient estimation in model-based reinforcement learning: a study on linear quadratic environments [Internet]. Proceedings. 2021 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_3

  • Artigo de periodico

    Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget (2021)

    Moreira, Daniel Augusto de Melo; Delgado, Karina Valdivia ; Barros, Leliane Nunes de ; Mauá, Denis Deratani

    Source: International Journal of Approximate Reasoning. Unidades: EACH, IME

    Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, PROCESSOS DE MARKOV, TEORIA DOS JOGOS, TEORIA DA DECISÃO

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    • ABNT

      MOREIRA, Daniel Augusto de Melo et al. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. International Journal of Approximate Reasoning, v. 139, p. 143-165, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2021.09.003. Acesso em: 30 jul. 2024.

    • APA

      Moreira, D. A. de M., Delgado, K. V., Barros, L. N. de, & Mauá, D. D. (2021). Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. International Journal of Approximate Reasoning, 139, 143-165. doi:10.1016/j.ijar.2021.09.003

    • NLM

      Moreira DA de M, Delgado KV, Barros LN de, Mauá DD. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget [Internet]. International Journal of Approximate Reasoning. 2021 ; 139 143-165.[citado 2024 jul. 30 ] Available from: https://doi.org/10.1016/j.ijar.2021.09.003

    • Vancouver

      Moreira DA de M, Delgado KV, Barros LN de, Mauá DD. Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget [Internet]. International Journal of Approximate Reasoning. 2021 ; 139 143-165.[citado 2024 jul. 30 ] Available from: https://doi.org/10.1016/j.ijar.2021.09.003

  • Artigo de periodico

    Using mathematical programming to solve factored Markov decision processes with imprecise probabilities (2011)

    Delgado, Karina Valdivia; Barros, Leliane Nunes de ; Cozman, Fabio Gagliardi ; Sanner, Scott

    Source: International Journal of Approximate Reasoning. Unidades: EACH, IME, EP

    Assunto: PROGRAMAÇÃO MATEMÁTICA

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    • ABNT

      DELGADO, Karina Valdivia et al. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities. International Journal of Approximate Reasoning, v. 52, p. 1000-1017, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2011.04.002. Acesso em: 30 jul. 2024.

    • APA

      Delgado, K. V., Barros, L. N. de, Cozman, F. G., & Sanner, S. (2011). Using mathematical programming to solve factored Markov decision processes with imprecise probabilities. International Journal of Approximate Reasoning, 52, 1000-1017. doi:10.1016/j.ijar.2011.04.002

    • NLM

      Delgado KV, Barros LN de, Cozman FG, Sanner S. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2011 ; 52 1000-1017.[citado 2024 jul. 30 ] Available from: https://doi.org/10.1016/j.ijar.2011.04.002

    • Vancouver

      Delgado KV, Barros LN de, Cozman FG, Sanner S. Using mathematical programming to solve factored Markov decision processes with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2011 ; 52 1000-1017.[citado 2024 jul. 30 ] Available from: https://doi.org/10.1016/j.ijar.2011.04.002

  • Artigo de periodico

    Efficient solutions to factored MDPs with imprecise transition probabilities (2011)

    Delgado, Karina Valdivia; Sanner, Scott; Barros, Leliane Nunes de

    Source: Artificial Intelligence. Unidades: EACH, IME

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      DELGADO, Karina Valdivia e SANNER, Scott e BARROS, Leliane Nunes de. Efficient solutions to factored MDPs with imprecise transition probabilities. Artificial Intelligence, v. 175, n. ju 2011, p. 1498-1527, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.artint.2011.01.001. Acesso em: 30 jul. 2024.

    • APA

      Delgado, K. V., Sanner, S., & Barros, L. N. de. (2011). Efficient solutions to factored MDPs with imprecise transition probabilities. Artificial Intelligence, 175( ju 2011), 1498-1527. doi:10.1016/j.artint.2011.01.001

    • NLM

      Delgado KV, Sanner S, Barros LN de. Efficient solutions to factored MDPs with imprecise transition probabilities [Internet]. Artificial Intelligence. 2011 ; 175( ju 2011): 1498-1527.[citado 2024 jul. 30 ] Available from: https://doi.org/10.1016/j.artint.2011.01.001

    • Vancouver

      Delgado KV, Sanner S, Barros LN de. Efficient solutions to factored MDPs with imprecise transition probabilities [Internet]. Artificial Intelligence. 2011 ; 175( ju 2011): 1498-1527.[citado 2024 jul. 30 ] Available from: https://doi.org/10.1016/j.artint.2011.01.001

  • Trabalho de evento

    Symbolic dynamic programming for discrete and continuous state MDPs (2011)

    Sanner, Scott; Delgado, Karina Valdivia ; Barros, Leliane Nunes de

    Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidades: EACH, IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS DE MARKOV, PROGRAMAÇÃO DINÂMICA

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    • ABNT

      SANNER, Scott e DELGADO, Karina Valdivia e BARROS, Leliane Nunes de. Symbolic dynamic programming for discrete and continuous state MDPs. 2011, Anais.. Arlington: AUAI Press, 2011. Disponível em: https://doi.org/10.5555/3020548.3020623. Acesso em: 30 jul. 2024.

    • APA

      Sanner, S., Delgado, K. V., & Barros, L. N. de. (2011). Symbolic dynamic programming for discrete and continuous state MDPs. In Proceedings. Arlington: AUAI Press. doi:10.5555/3020548.3020623

    • NLM

      Sanner S, Delgado KV, Barros LN de. Symbolic dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2011 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.5555/3020548.3020623

    • Vancouver

      Sanner S, Delgado KV, Barros LN de. Symbolic dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2011 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.5555/3020548.3020623

  • Trabalho de evento

    Diagnostic of programs for programming learning tools (2006)

    Delgado, Karina Valdivia ; Barros, Leliane Nunes de

    Source: Proceedings. Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidade: IME

    Subjects: ALGORITMOS, INTELIGÊNCIA ARTIFICIAL, ENGENHARIA DE SOFTWARE, SOLUÇÃO DE PROBLEMAS

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    • ABNT

      DELGADO, Karina Valdivia e BARROS, Leliane Nunes de. Diagnostic of programs for programming learning tools. 2006, Anais.. Berlin: Springer, 2006. Disponível em: https://doi.org/10.1007/11874850_5. Acesso em: 30 jul. 2024.

    • APA

      Delgado, K. V., & Barros, L. N. de. (2006). Diagnostic of programs for programming learning tools. In Proceedings. Berlin: Springer. doi:10.1007/11874850_5

    • NLM

      Delgado KV, Barros LN de. Diagnostic of programs for programming learning tools [Internet]. Proceedings. 2006 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.1007/11874850_5

    • Vancouver

      Delgado KV, Barros LN de. Diagnostic of programs for programming learning tools [Internet]. Proceedings. 2006 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.1007/11874850_5

  • Trabalho de evento

    Planning with abduction: a logical framework to explore extensions to classical planning (2004)

    Pereira, Silvio do Lago; Barros, Leliane Nunes de

    Source: Proceedings. Conference titles: Brazilian Symposium on Artificial Intelligence - SBIA. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROGRAMAÇÃO LÓGICA

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    • ABNT

      PEREIRA, Silvio do Lago e BARROS, Leliane Nunes de. Planning with abduction: a logical framework to explore extensions to classical planning. 2004, Anais.. Berlin: Springer, 2004. Disponível em: https://doi.org/10.1007/978-3-540-28645-5_7. Acesso em: 30 jul. 2024.

    • APA

      Pereira, S. do L., & Barros, L. N. de. (2004). Planning with abduction: a logical framework to explore extensions to classical planning. In Proceedings. Berlin: Springer. doi:10.1007/978-3-540-28645-5_7

    • NLM

      Pereira S do L, Barros LN de. Planning with abduction: a logical framework to explore extensions to classical planning [Internet]. Proceedings. 2004 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.1007/978-3-540-28645-5_7

    • Vancouver

      Pereira S do L, Barros LN de. Planning with abduction: a logical framework to explore extensions to classical planning [Internet]. Proceedings. 2004 ;[citado 2024 jul. 30 ] Available from: https://doi.org/10.1007/978-3-540-28645-5_7
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