Self-organizing neural architectures and cooperative learning in a multiagent environment

Self-organizing neural architectures and cooperative learning in a multiagent environment

Temporal-Difference–Fusion Architecture for Learning, Cognition, and Navigation (TD-FALCON) is a generalization of adaptive resonance theory (a class of self-organizing neural networks) that incorporates TD methods for real-time reinforcement learning. In this paper, we investigate how a team of TD-...

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書目詳細資料
Main Authors:	XIAO, Dan, TAN, Ah-hwee
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2007
主題:	Multiagent cooperative learning reinforcement learning (RL) self-organizing neural architectures Computer and Systems Architecture Computer Engineering Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/5221 https://ink.library.smu.edu.sg/context/sis_research/article/6224/viewcontent/MA20TSMC_B07.pdf
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