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Filtros : "Silva, Felipe Leno da" Removidos: "VISÃO COMPUTACIONAL" "IME-MAP" Limpar

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1 - 9 (9 records)

  • Artigo de periodico

    DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning (2020)

    Glatt, Ruben; Silva, Felipe Leno da ; Bianchi, Reinaldo Augusto da Costa ; Costa, Anna Helena Reali

    Source: Expert Systems with Applications. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 04 nov. 2024.

    • APA

      Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Costa, A. H. R. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420

    • NLM

      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420

    • Vancouver

      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420

  • Artigo de periodico

    Coordination of electric vehicle charging through multiagent reinforcement learning (2020)

    Silva, Felipe Leno da ; Nishida, Cyntia Eico Hayama; ROIJERS, DIEDERIK M; Costa, Anna Helena Reali

    Source: EEE TRANSACTIONS ON SMART GRID. Unidade: EP

    Subjects: SISTEMAS MULTIAGENTES, APRENDIZADO COMPUTACIONAL

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    • ABNT

      SILVA, Felipe Leno da et al. Coordination of electric vehicle charging through multiagent reinforcement learning. EEE TRANSACTIONS ON SMART GRID, v. 11, p. 2347-2356, 2020Tradução . . Disponível em: http://www.ieee.org/publications_standards/publications/rights/index.html for more information. Acesso em: 04 nov. 2024.

    • APA

      Silva, F. L. da, Nishida, C. E. H., ROIJERS, D. I. E. D. E. R. I. K. M., & Costa, A. H. R. (2020). Coordination of electric vehicle charging through multiagent reinforcement learning. EEE TRANSACTIONS ON SMART GRID, 11, 2347-2356. doi:10.1109/TSG.2019.2952331

    • NLM

      Silva FL da, Nishida CEH, ROIJERS DIEDERIKM, Costa AHR. Coordination of electric vehicle charging through multiagent reinforcement learning [Internet]. EEE TRANSACTIONS ON SMART GRID. 2020 ;11 2347-2356.[citado 2024 nov. 04 ] Available from: http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

    • Vancouver

      Silva FL da, Nishida CEH, ROIJERS DIEDERIKM, Costa AHR. Coordination of electric vehicle charging through multiagent reinforcement learning [Internet]. EEE TRANSACTIONS ON SMART GRID. 2020 ;11 2347-2356.[citado 2024 nov. 04 ] Available from: http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

  • Artigo de periodico

    Agents teaching agents: a survey on inter-agent transfer learning (2020)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena ; Warnell, Garrett; Stone, Peter

    Source: Autonomous Agents and Multi-Agent Systems. Unidade: EP

    Subjects: SISTEMAS MULTIAGENTES, APRENDIZAO COMPUTACIONAL

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    • ABNT

      SILVA, Felipe Leno da et al. Agents teaching agents: a survey on inter-agent transfer learning. Autonomous Agents and Multi-Agent Systems, v. 34, n. 9, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10458-019-09430-0. Acesso em: 04 nov. 2024.

    • APA

      Silva, F. L. da, Reali Costa, A. H., Warnell, G., & Stone, P. (2020). Agents teaching agents: a survey on inter-agent transfer learning. Autonomous Agents and Multi-Agent Systems, 34( 9), 1-17. doi:10.1007/s10458-019-09430-0

    • NLM

      Silva FL da, Reali Costa AH, Warnell G, Stone P. Agents teaching agents: a survey on inter-agent transfer learning [Internet]. Autonomous Agents and Multi-Agent Systems. 2020 ; 34( 9): 1-17.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s10458-019-09430-0

    • Vancouver

      Silva FL da, Reali Costa AH, Warnell G, Stone P. Agents teaching agents: a survey on inter-agent transfer learning [Internet]. Autonomous Agents and Multi-Agent Systems. 2020 ; 34( 9): 1-17.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s10458-019-09430-0

  • Artigo de periodico

    MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning (2019)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena ; Glatt, Ruben

    Source: IEEE Transactions on Cybernetics. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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    • ABNT

      SILVA, Felipe Leno da e REALI COSTA, Anna Helena e GLATT, Ruben. MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning. IEEE Transactions on Cybernetics, v. 49 , n. 2, p. 567-579, 2019Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2017.2781130. Acesso em: 04 nov. 2024.

    • APA

      Silva, F. L. da, Reali Costa, A. H., & Glatt, R. (2019). MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning. IEEE Transactions on Cybernetics, 49 ( 2), 567-579. doi:10.1109/TCYB.2017.2781130

    • NLM

      Silva FL da, Reali Costa AH, Glatt R. MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning [Internet]. IEEE Transactions on Cybernetics. 2019 ; 49 ( 2): 567-579.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TCYB.2017.2781130

    • Vancouver

      Silva FL da, Reali Costa AH, Glatt R. MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning [Internet]. IEEE Transactions on Cybernetics. 2019 ; 49 ( 2): 567-579.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TCYB.2017.2781130

  • Artigo de periodico

    A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems (2019)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena

    Source: Journal of Artificial Intelligence Research. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      SILVA, Felipe Leno da e REALI COSTA, Anna Helena. A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems. Journal of Artificial Intelligence Research, v. 64, p. 645-703, 2019Tradução . . Disponível em: https://doi.org/10.1613/jair.1.11396. Acesso em: 04 nov. 2024.

    • APA

      Silva, F. L. da, & Reali Costa, A. H. (2019). A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems. Journal of Artificial Intelligence Research, 64, 645-703. doi:10.1613/jair.1.11396

    • NLM

      Silva FL da, Reali Costa AH. A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems [Internet]. Journal of Artificial Intelligence Research. 2019 ; 64 645-703.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1613/jair.1.11396

    • Vancouver

      Silva FL da, Reali Costa AH. A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems [Internet]. Journal of Artificial Intelligence Research. 2019 ; 64 645-703.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1613/jair.1.11396

  • Tese (Doutorado)

    Methods and algorithms for knowledge reuse in multiagent reinforcement learning (2019)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena (Orientador)

    Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, SISTEMAS MULTIAGENTES

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      SILVA, Felipe Leno da. Methods and algorithms for knowledge reuse in multiagent reinforcement learning. 2019. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2019. Disponível em: https://teses.usp.br/teses/disponiveis/3/3141/tde-21112019-113201/. Acesso em: 04 nov. 2024.

    • APA

      Silva, F. L. da. (2019). Methods and algorithms for knowledge reuse in multiagent reinforcement learning (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://teses.usp.br/teses/disponiveis/3/3141/tde-21112019-113201/

    • NLM

      Silva FL da. Methods and algorithms for knowledge reuse in multiagent reinforcement learning [Internet]. 2019 ;[citado 2024 nov. 04 ] Available from: https://teses.usp.br/teses/disponiveis/3/3141/tde-21112019-113201/

    • Vancouver

      Silva FL da. Methods and algorithms for knowledge reuse in multiagent reinforcement learning [Internet]. 2019 ;[citado 2024 nov. 04 ] Available from: https://teses.usp.br/teses/disponiveis/3/3141/tde-21112019-113201/

  • Artigo de periodico

    GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis (2017)

    Jacomini, Ricardo de Souza; Martins-Jr, David ; Silva, Felipe Leno da ; Reali Costa, Anna Helena

    Source: Journal of Computational Biology. Unidade: EP

    Assunto: FRAMEWORKS

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      JACOMINI, Ricardo de Souza et al. GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. Journal of Computational Biology, 2017Tradução . . Disponível em: https://doi.org/10.1089/cmb.2017.0022. Acesso em: 04 nov. 2024.

    • APA

      Jacomini, R. de S., Martins-Jr, D., Silva, F. L. da, & Reali Costa, A. H. (2017). GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. Journal of Computational Biology. doi:10.1089/cmb.2017.0022

    • NLM

      Jacomini R de S, Martins-Jr D, Silva FL da, Reali Costa AH. GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis [Internet]. Journal of Computational Biology. 2017 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1089/cmb.2017.0022

    • Vancouver

      Jacomini R de S, Martins-Jr D, Silva FL da, Reali Costa AH. GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis [Internet]. Journal of Computational Biology. 2017 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1089/cmb.2017.0022

  • Artigo de periodico

    Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images (2015)

    Silva, Felipe Leno da ; Grassi-Sella, Marina Lopes; Francoy, Tiago Mauricio ; Reali Costa, Anna Helena

    Source: Computers and Electronics in Agriculture. Unidades: EACH, EP, FMRP

    Subjects: ABELHAS (CLASSIFICAÇÃO;IDENTIFICAÇÃO), MORFOMETRIA

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      SILVA, Felipe Leno da et al. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, v. 114, n. ju 2015, p. 68-77, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.03.012. Acesso em: 04 nov. 2024.

    • APA

      Silva, F. L. da, Grassi-Sella, M. L., Francoy, T. M., & Reali Costa, A. H. (2015). Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, 114( ju 2015), 68-77. doi:10.1016/j.compag.2015.03.012

    • NLM

      Silva FL da, Grassi-Sella ML, Francoy TM, Reali Costa AH. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images [Internet]. Computers and Electronics in Agriculture. 2015 ; 114( ju 2015): 68-77.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.compag.2015.03.012

    • Vancouver

      Silva FL da, Grassi-Sella ML, Francoy TM, Reali Costa AH. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images [Internet]. Computers and Electronics in Agriculture. 2015 ; 114( ju 2015): 68-77.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.compag.2015.03.012

  • Trabalho de evento

    Planejamento probabilístico com becos sem saída (2015)

    Simão, Thiago Dias; Barros, Leliane Nunes de ; Silva, Felipe Leno da

    Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidades: IME, EP

    Subjects: PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS, INTELIGÊNCIA ARTIFICIAL

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      SIMÃO, Thiago Dias e BARROS, Leliane Nunes de e SILVA, Felipe Leno da. Planejamento probabilístico com becos sem saída. 2015, Anais.. Porto Alegre: SBC, 2015. Disponível em: http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/025.pdf. Acesso em: 04 nov. 2024.

    • APA

      Simão, T. D., Barros, L. N. de, & Silva, F. L. da. (2015). Planejamento probabilístico com becos sem saída. In Anais. Porto Alegre: SBC. Recuperado de http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/025.pdf

    • NLM

      Simão TD, Barros LN de, Silva FL da. Planejamento probabilístico com becos sem saída [Internet]. Anais. 2015 ;[citado 2024 nov. 04 ] Available from: http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/025.pdf

    • Vancouver

      Simão TD, Barros LN de, Silva FL da. Planejamento probabilístico com becos sem saída [Internet]. Anais. 2015 ;[citado 2024 nov. 04 ] Available from: http://www.lbd.dcc.ufmg.br/colecoes/eniac/2015/025.pdf
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