Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO
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: 28 ago. 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/s10458-022-09571-9NLM
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 ago. 28 ] Available from: https://doi.org/10.1007/s10458-022-09571-9Vancouver
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 ago. 28 ] Available from: https://doi.org/10.1007/s10458-022-09571-9