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

Akihiko Yamaguchi, Tsukasa Ogasawara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010
Pages118-123
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010 - Nashville, TN, United States
Duration: 2010 Dec 62010 Dec 8

Publication series

Name2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010

Other

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Human-Computer Interaction

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  • Cite this

    Yamaguchi, A., & Ogasawara, T. (2010). SkyAI: Highly modularized reinforcement learning library - Concepts, requirements, and implementation. In 2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010 (pp. 118-123). [5686285] (2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010). https://doi.org/10.1109/ICHR.2010.5686285