Multi-agent reinforcement learning system integrating exploitation- and exploration-oriented learning

Satoshi Kurihara, Toshiharu Sugawara, Rikio Onai

研究成果: Conference contribution

抜粋

This paper proposes and evaluates MarLee, a multi-agent reinforcement learning system that integrates both exploitation- and exploration-oriented learning. Compared with conventional reinforcement learnings, MarLee is more robust in the face of a dynamically changing environment and is able to perform exploration-oriented learning efficiently even in a large-scale environment. Thus, MarLee is well suited for autonomous systems, for example, software agents and mobile robots, that operate in dynamic, large-scale environments, like the real-world and the Internet. Spreading activation, based on the behavior-based approach, is used to explore the environment, so by manipulating the parameters of the spreading activation, it is easy to tune the learning characteristics. The fundamental effectiveness of MarLee was demonstrated by simulation.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
ページ45-57
ページ数13
1544
ISBN(印刷物)3540654771, 9783540654773
出版物ステータスPublished - 1998
外部発表Yes
イベント4th Australian Workshop on Distributed Artificial Intelligence, DAK 1998 - Brisbane, Australia
継続期間: 1998 7 131998 7 13

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)
1544
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other4th Australian Workshop on Distributed Artificial Intelligence, DAK 1998
Australia
Brisbane
期間98/7/1398/7/13

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • これを引用

    Kurihara, S., Sugawara, T., & Onai, R. (1998). Multi-agent reinforcement learning system integrating exploitation- and exploration-oriented learning. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 1544, pp. 45-57). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 1544). Springer Verlag.