Filtros : "Marcolino, Leandro Soriano" "2022" Limpar

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  • Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      YOURDSHAHI, Elnaz Shafpour et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 11 nov. 2024.
    • APA

      Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
    • NLM

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
    • Vancouver

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
  • Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: ALGORITMOS, APRENDIZAGEM, TRABALHO EM GRUPO

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      YOURDSHAHI, Elnaz Shafipour et al. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 11 nov. 2024.
    • APA

      Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
    • NLM

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
    • Vancouver

      Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s10458-022-09571-9

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