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Kotaro Hirasawa
Waseda University
Computer Science & IT

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Exploration of genetic network programming with two-stage reinforcement learning for mobile robot Siti Sendari; Arif Nur Afandi; Ilham Ari Elbaith Zaeni; Yogi Dwi Mahandi; Kotaro Hirasawa; Hsien-I Lin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.12232

Abstract

This paper observes the exploration of Genetic Network Programming Two-Stage Reinforcement Learning for mobile robot navigation. The proposed method aims to observe its exploration when inexperienced environments used in the implementation. In order to deal with this situation, individuals are trained firstly in the training phase, that is, they learn the environment with ϵ-greedy policy and learning rate α parameters. Here, two cases are studied, i.e., case A for low exploration and case B for high exploration. In the implementation, the individuals implemented to get experience and learn a new environment on-line. Then, the performance of learning processes are observed due to the environmental changes.
Co-Authors A.N. Afandi Hsien-I Lin Siti Sendari Yogi Dwi Mahandi Zaeni, Ilham Ari Elbaith