Files:DescriptionFile size FormatBrowse
Fulltext0.24 MBPDF (requires Acrobat Reader)Previous | Next
PostScript
  
Authors:Marius Oancea: Universitatii Lucian Blaga, Sibiu, Romania
Ciprian Candea: Universitatii Lucian Blaga, Sibiu, Romania
Daniel Volovici: Universitatii Lucian Blaga, Sibiu, Romania
Publication title:SibiuTeam Team
Conference:RobocCup-99 Team Descriptions. Simulation League
Publication type: Abstract and Fulltext
Issue:004
Article No.:031
Abstract:We use simulated soccer to study multi-agent learning. Each team member tries to learn from the corresponding human player in a real game. Following a unified approach; strategic and tactical behavior is learned synergistically by training a feed-forward neural network (ANN) with a modified back-propagation algorithm. It aims at decreasing the learning time and avoiding the local maximums. We tried to minimize the computation effort; as required in classic back-propagation (BKP) methods.
Language:English
Year:1999
No. of pages:5
Pages:139-143
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ea/cis/1999/007/31/cis9900731.pdf
Available:1999-12-15
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Marius Oancea, Ciprian Candea, Daniel Volovici (1999). SibiuTeam Team, RobocCup-99 Team Descriptions. Simulation League http://www.ep.liu.se/ecp_article/index.en.aspx?issue=004;article=031 (accessed 10/23/2014)