Integrating temporal difference methods and self‐organizing neural networks for reinforcement learning with delayed evaluative feedback

• Main Authors: TAN, Ah-hwee, LU, Ning, XIAO, Dan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: Reinforcement learning; self-organizing neural networks (NNs); temporal difference (TD) methods; Computer Engineering; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/5237; https://ink.library.smu.edu.sg/context/sis_research/article/6240/viewcontent/Integrating_Temporal_Difference_Methods_and.pdf
• Institution: Singapore Management University

This paper presents a neural architecture for learning category nodes encoding mappings across multimodal patterns involving sensory inputs, actions, and rewards. By integrating adaptive resonance theory (ART) and temporal difference (TD) methods, the proposed neural model, called TD fusion architec...