MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning (2019)
- Authors:
- USP affiliated authors: COSTA, ANNA HELENA REALI - EP ; SILVA, FELIPE LENO DA - EP ; GLATT, RUBEN - EP
- Unidade: EP
- Sigla do Departamento: PCS
- DOI: 10.1109/TCYB.2017.2781130
- Assunto: APRENDIZADO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Source:
- Título: IEEE Transactions on Cybernetics
- Volume/Número/Paginação/Ano: v. 49 ,n. 2, p.567-579, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 02 jan. 2026. -
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 2026 jan. 02 ] 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 2026 jan. 02 ] Available from: https://doi.org/10.1109/TCYB.2017.2781130 - An advising framework for multiagent reinforcement learning systems
- Methods and algorithms for knowledge reuse in multiagent reinforcement learning
- Accelerating multiagent reinforcement learning through transfer learning
- Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues
- A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems
- GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis
- Knowledge reuse for deep reinforcement learning
- Methods and algorithms for knowledge reuse in multiagent reinforcement learning
- Automated bee species identification through wing images
- Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images
Informações sobre o DOI: 10.1109/TCYB.2017.2781130 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| Reali_Costa-2019-MOO-MDP_... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
