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Refinado por: autor: Angelov, P remover
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1
Guest editorial: Special issue applications of artificial intelligence and machine learning in business, finance and economics
Guest editorial: Special issue applications of artificial intelligence and machine learning in business, finance and economics
Material Type:
Artigo 		Adicionar ao Meu Espaço

Guest editorial: Special issue applications of artificial intelligence and machine learning in business, finance and economics

Leandro dos Santos Maciel Plamen Angelov; Fernando Gomide

REGE - Revista de Gestão São Paulo v. 31, n.2, p. 134-136, 2024

São Paulo 2024

Item não circula. Consulte sua biblioteca.(Acessar)

2
On‑line estimators for ad‑hoc task execution learning types and parameters of teammates for effective teamwork
On‑line estimators for ad‑hoc task execution learning types and parameters of teammates for effective teamwork
Material Type:
Artigo 		Adicionar ao Meu Espaço

On‑line estimators for ad‑hoc task execution learning types and parameters of teammates for effective teamwork

Elnaz Shafipour Yourdshahi Matheus Aparecido do Carmo Alves; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov

Autonomous Agents and Multi-Agent Systems New York : Springer v. 36, p. 1-49, 2022

New York 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3091796 )(Acessar)

3
On-line estimators for ad-hoc task execution learning types and parameters of teammates for effective teamwork
On-line estimators for ad-hoc task execution learning types and parameters of teammates for effective teamwork
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

On-line estimators for ad-hoc task execution learning types and parameters of teammates for effective teamwork

Matheus Aparecido do Carmo Alves Elnaz Shafpour Yourdshahi; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov; International Conference on Autonomous Agents and Multiagent Systems - AAMAS (22. 2023 London)

Proceedings

New York ACM 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3145144 )(Acessar)

4
On-line estimators for ad-hoc task execution learning types and parameters of teammates for efective teamwork
On-line estimators for ad-hoc task execution learning types and parameters of teammates for efective teamwork
Material Type:
Artigo 		Adicionar ao Meu Espaço

On-line estimators for ad-hoc task execution learning types and parameters of teammates for efective teamwork

Elnaz Shafpour Yourdshahi Matheus Aparecido do Carmo Alves; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov

Autonomous Agents and Multi-Agent Systems New York : Springer v. 36, p. 1-49, 2022

New York 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3145134 )(Acessar)

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Deste Autor:

  1. Angelov, P
  2. Marcolino, L
  3. Varma, A
  4. Yourdshahi, E
  5. Alves, M

Neste Assunto:

  1. Algoritmos
  2. Aprendizagem
  3. Análise De Desempenho
  4. Trabalho Em Grupo
  5. Aprendizado Computacional

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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