Towards knowledge transfer in deep reinforcement learning (2017)
- Authors:
- USP affiliated authors: COSTA, ANNA HELENA REALI - EP ; GLATT, RUBEN - EP ; SILVA, FELIPE LENO DA - EP
- Unidade: EP
- DOI: 10.1109/BRACIS.2016.027
- Subjects: AGENTES INTELIGENTES; APRENDIZAGEM PROFUNDA; CONHECIMENTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2017
- Source:
- Título: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
GLATT, Ruben e SILVA, Felipe Leno da e REALI COSTA, Anna Helena. Towards knowledge transfer in deep reinforcement learning. 2017, Anais.. Piscataway: Escola Politécnica, Universidade de São Paulo, 2017. Disponível em: https://doi.org/10.1109/BRACIS.2016.027. Acesso em: 09 abr. 2026. -
APA
Glatt, R., Silva, F. L. da, & Reali Costa, A. H. (2017). Towards knowledge transfer in deep reinforcement learning. In Proceedings. Piscataway: Escola Politécnica, Universidade de São Paulo. doi:10.1109/BRACIS.2016.027 -
NLM
Glatt R, Silva FL da, Reali Costa AH. Towards knowledge transfer in deep reinforcement learning [Internet]. Proceedings. 2017 ;[citado 2026 abr. 09 ] Available from: https://doi.org/10.1109/BRACIS.2016.027 -
Vancouver
Glatt R, Silva FL da, Reali Costa AH. Towards knowledge transfer in deep reinforcement learning [Internet]. Proceedings. 2017 ;[citado 2026 abr. 09 ] Available from: https://doi.org/10.1109/BRACIS.2016.027 - Object-oriented reinforcement learning in cooperative multiagent domains
- An advising framework for multiagent reinforcement learning systems
- MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning
- Simultaneously learning and advising in multiagent reinforcement learning
- Building self-play curricula online by playing with expert agents in adversarial games
- Autonomously reusing knowledge in multiagent reinforcement learning
- Object-oriented curriculum generation for reinforcement learning
- Towards zero-shot autonomous inter-task mapping through object-oriented task description
- Accelerating multiagent reinforcement learning through transfer learning
- Methods and algorithms for knowledge reuse in multiagent reinforcement learning
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