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作者:

Han, Guang-Sheng (Han, Guang-Sheng.) | Zhang, Hong-Wei (Zhang, Hong-Wei.)

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摘要:

Keepaway-a sub-problem of Robocup, has been elevated from machine learning testbed to the domain to a machine learning benchmark, which is much suitable for comparing different learning algorithms. This paper introduces the Keepaway Soccer detailedly and compares the performances of two RL method-Q(λ) and Sarsa(λ). The reasons why they perform in this domain are explored primarily.

关键词:

Learning algorithms Learning systems Magnetic domains Reinforcement learning

作者机构:

  • [ 1 ] [Han, Guang-Sheng]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Zhang, Hong-Wei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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来源 :

Journal of Harbin Institute of Technology

ISSN: 0367-6234

年份: 2007

期: SUPPL. 1

卷: 39

页码: 364-366

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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