A study on Visual Abstraction for Reinforcement Learning Problem Using Learning Vector Quantization

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A study on Visual Abstraction for Reinforcement Learning Problem Using Learning Vector Quantization

When applying the learning systems to real-world problems, which have a lot of unknown or uncertain things, there are some issues that need to be solved. One of them is the abstraction ability. In reinforcement learning, to complete each task, the agent will learn to find the best policy. Neverthele...

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Bibliographic Details
Main Authors:	Ahmad Afif, Mohd Faudzi, Hirotaka, Takano, Junichi, Murata
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6961/ http://umpir.ump.edu.my/id/eprint/6961/1/A_study_on_Visual_Abstraction_for_Reinforcement_Learning_Problem_Using_Learning_Vector_Quantization.pdf

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