Transfer learning through abstraction using learning vector quantization

• 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/19465/1/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; http://umpir.ump.edu.my/id/eprint/19465/
• Institution: Universiti Malaysia Pahang

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...