“Re:ROS”: Prototyping of Reinforcement Learning Environment for Asynchronous Cognitive Architecture

Sei Ueno, Masahiko Osawa, Michita Imai, Tsuneo Kato, Hiroshi Yamakawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Reinforcement learning (RL), which is a field of machine learning, is effective for behavior acquisition in robots. Asynchronous cognitive architecture, which is a method to model human intelligence, is also effective for behavior acquisition. Accordingly, the combination of RL and asynchronous cognitive architecture is expected to be effective. However, early work on the RL toolkit cannot apply asynchronous cognitive architecture because it cannot solve the difference between the asynchrony, which the asynchronous cognitive architecture has, and the synchrony, which RL modules have. In this study, we propose an RL environment for robots that can apply the asynchronous cognitive architecture by applying asynchronous systems to RL modules. We prototyped the RL environment named “Re:ROS.”.

本文言語English
ホスト出版物のタイトルBiologically Inspired Cognitive Architectures (BICA) for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School on BICA and Cybersecurity, FIERCES 2017
編集者Alexei V. Samsonovich, Alexei V. Samsonovich, Valentin V. Klimov
出版社Springer
ページ198-203
ページ数6
ISBN(印刷版)9783319639390
DOI
出版ステータスPublished - 2018
イベント1st International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures, FIERCES on BICA 2017 - Moscow, Russian Federation
継続期間: 2017 8月 12017 8月 6

出版物シリーズ

名前Advances in Intelligent Systems and Computing
636
ISSN(印刷版)2194-5357
ISSN(電子版)2194-5365

Conference

Conference1st International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures, FIERCES on BICA 2017
国/地域Russian Federation
CityMoscow
Period17/8/117/8/6

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータサイエンス一般

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