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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Bibliographic Details
Main Author: TAN, Ah-hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/sis_research/6833
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Institution: Singapore Management University
Language: English
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