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Experience sharing between cooperative reinforcement learning agents
LO Souza, G de Oliveira Ramos… - 2019 IEEE 31st …, 2019 - ieeexplore.ieee.org
The idea of experience sharing between cooperative agents naturally emerges from our
understanding of how humans learn. Our evolution as a species is tightly linked to the ability …
understanding of how humans learn. Our evolution as a species is tightly linked to the ability …
Accelerating learning in multiagent domains through experience sharing
LO Souza - 2019 - realp.unb.br
Essa dissertação contribui para o crescente campo de inteligência artificial e aprendizado
de máquina. Aprendizado é um componente essencial do comportamento humano, a …
de máquina. Aprendizado é um componente essencial do comportamento humano, a …
Combining Probabilistic Contexts in Multi-Agent Systems
L Predoiu - … and Interdisciplinary Conference on Modeling and …, 2019 - Springer
We propose an approach for modelling, integrating, and querying distributed probabilistic
contexts in multi-agent systems. We assume each agent to be equipped with an …
contexts in multi-agent systems. We assume each agent to be equipped with an …
マルチエージェント強化学習における全エージェントの経験を用いた状態空間削減手法の検討
岡野拓哉， 大西**輝， 野田五十樹 - 研究報告知能システム (ICS), 2019 - ipsj.ixsq.nii.ac.jp
論文抄録 強化学習及びマルチエージェント強化学習は学習に非常に多くの時間を要することが知
られている. マルチエージェント強化学習では, 複数のエージェントが同時に学習行動を行うため …
られている. マルチエージェント強化学習では, 複数のエージェントが同時に学習行動を行うため …