Self-organizing neural architecture for reinforcement learning

Self-organizing neural networks are typically associated with unsupervised learning. This paper presents a self-organizing neural architecture, known as TD-FALCON, that learns cognitive codes across multi-modal pattern spaces, involving sensory input, actions, and rewards, and is capable of adapting...

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主要作者: TAN, Ah-hwee
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2006
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/6833
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