Initial experiments on reinforcement learning control of cooperative manipulations

M. M. Svinin, F. Kojima, Y. Katada, K. Ueda

研究成果: ジャーナルへの寄稿学術誌査読

5 被引用数 (Scopus)

抄録

The paper deals with instance-based reinforcement learning control of autonomous robots. A classifier system, defined in the continuous state and action spaces, is outlined. Based on the sensory state space analysis, we define a learning strategy and fix structure of the action rules. The classifier system features a nonconservative bucket brigade algorithm and a fast reproduction mechanism. The system developed is then applied to learning cooperative behavior by two robots coupled via a common object, with each robot controlled by its own classifier. Feasibility of this scheme is tested under experiment with two Lynxmotion robots, and a motion pattern of cooperative behavior (lifting up an object) is evolved using the two interacting classifier systems.

本文言語英語
ページ(範囲)416-422
ページ数7
ジャーナルIEEE International Conference on Intelligent Robots and Systems
1
DOI
出版ステータス出版済み - 2000
外部発表はい

!!!All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

フィンガープリント

「Initial experiments on reinforcement learning control of cooperative manipulations」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル