Self-organizing neural architecture for reinforcement learning

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
Subjects:	Databases and Information Systems
Online Access:	https://ink.library.smu.edu.sg/sis_research/6833
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Singapore Management University
Language:	English

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