SkyAI: Highly modularized reinforcement learning library - Concepts, requirements, and implementation

Akihiko Yamaguchi, Tsukasa Ogasawara

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper introduces a software library of reinforcement learning (RL) methods, named SkyAI. SkyAI is a highly modularized RL library for real/simulated robots to learn behaviors. Our ultimate goal is to develop an artificial intelligence (AI) program with which the robots can learn to behave as their users' wish. In this paper, we describe the concepts, the requirements, and the current implementation of SkyAI. SkyAI provides two conflicting features: high execution-speed enough for real robot systems and high flexibility to design learning systems. We also demonstrate the applications to crawling tasks of both a humanoid robot in simulation and a real spider robot.

本文言語English
ホスト出版物のタイトル2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010
ページ118-123
ページ数6
DOI
出版ステータスPublished - 2010
外部発表はい
イベント2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010 - Nashville, TN, United States
継続期間: 2010 12月 62010 12月 8

出版物シリーズ

名前2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010

Other

Other2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010
国/地域United States
CityNashville, TN
Period10/12/610/12/8

ASJC Scopus subject areas

  • 人工知能
  • ハードウェアとアーキテクチャ
  • 人間とコンピュータの相互作用

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