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 |
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格式: | text |
語言: | English |
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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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機構: | Singapore Management University |
語言: | English |
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