Transfer learning through abstraction using learning vector quantization

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Transfer learning through abstraction using learning vector quantization

Reinforcement learning (RL) enables an agent to find a solution to a problem by interacting with the environment. However, the learning process always starts from scratch andpossibly takes a long time. Here, knowledge transfer betweentasks is considered. In this paper, we argue that an abstraction c...

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Bibliographic Details
Main Authors:	Ahmad Afif, Mohd Faudzi, Hirotaka, Takano, Junichi, Murata
Format:	Conference or Workshop Item
Language:	English English
Published:	2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19465/ http://umpir.ump.edu.my/id/eprint/19465/1/Transfer%20Learning%20through%20Abstraction%20Using%20Learning%20Vector%20Quantization.pdf http://umpir.ump.edu.my/id/eprint/19465/2/Transfer%20Learning%20through%20Abstraction%20Using%20Learning%20Vector%20Quantization%201.pdf

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