Autonomously reusing knowledge in multiagent reinforcement learning (2018)
- Authors:
- USP affiliated authors: COSTA, ANNA HELENA REALI - EP ; SILVA, FELIPE LENO DA - EP
- Unidade: EP
- DOI: 10.24963/ijcai.2018/774
- Subjects: SISTEMAS MULTIAGENTES; AGENTES INTELIGENTES; APRENDIZADO COMPUTACIONAL; CONHECIMENTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Artificial Intelligence - IJCAI
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Felipe Leno da e TAYLOR, Matthew E. e REALI COSTA, Anna Helena. Autonomously reusing knowledge in multiagent reinforcement learning. 2018, Anais.. [S. l.]: Escola Politécnica, Universidade de São Paulo, 2018. Disponível em: https://doi.org/10.24963/ijcai.2018/774. Acesso em: 13 fev. 2026. -
APA
Silva, F. L. da, Taylor, M. E., & Reali Costa, A. H. (2018). Autonomously reusing knowledge in multiagent reinforcement learning. In Proceedings. [S. l.]: Escola Politécnica, Universidade de São Paulo. doi:10.24963/ijcai.2018/774 -
NLM
Silva FL da, Taylor ME, Reali Costa AH. Autonomously reusing knowledge in multiagent reinforcement learning [Internet]. Proceedings. 2018 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.24963/ijcai.2018/774 -
Vancouver
Silva FL da, Taylor ME, Reali Costa AH. Autonomously reusing knowledge in multiagent reinforcement learning [Internet]. Proceedings. 2018 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.24963/ijcai.2018/774 - Building self-play curricula online by playing with expert agents in adversarial games
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- A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems
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- Towards knowledge transfer in deep reinforcement learning
- An advising framework for multiagent reinforcement learning systems
- GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis
- MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning
Informações sobre o DOI: 10.24963/ijcai.2018/774 (Fonte: oaDOI API)
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