Reducing trials by thinning-out in skill discovery

Hayato Kobayashi, Kohei Hatano, Akira Ishino, Ayumi Shinohara

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose a new concept, thinning-out, for reducing the number of trials in skill discovery. Thinning-out means to skip over such trials that are unlikely to improve discovering results, in the same way as "pruning" in a search tree. We show that our thinning-out technique significantly reduces the number of trials. In addition, we apply thinning-out to the discovery of good physical motions by legged robots in a simulation environment. By using thinning-out, our virtual robots can discover sophisticated motions that is much different from the initial motion in a reasonable amount of trials.

本文言語英語
ホスト出版物のタイトルDiscovery Science - 10th International Conference, DS 2007, Proceedings
出版社Springer Verlag
ページ127-138
ページ数12
ISBN(印刷版)9783540754879
DOI
出版ステータス出版済み - 2007
イベント10th International Conference on Discovery Science, DS 2007 - Sendai, 日本
継続期間: 10 1 200710 4 2007

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4755 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他10th International Conference on Discovery Science, DS 2007
Country日本
CitySendai
Period10/1/0710/4/07

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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