DocumentCode
2319556
Title
Reinforcement learning in simulation RoboCup soccer
Author
Cheng, Xian-yi ; Yuan, Xiao-Hua ; Pan, Ling-Han ; Xia, De-Shen
Author_Institution
Dept. of Comput. Sci., Nanjing Univ. of Sci. & Technol., China
Volume
1
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
244
Abstract
In the next fifty years, the main problem of AI is "the solution of multi-agent in the dynamic and un-forecast environment", the standard problem is the robot vs. robot or human vs. robot competition. This work discusses the problem of collaboration and coordination in RoboCup agent based on reinforcement learning and shows our experiment results.
Keywords
control engineering computing; learning (artificial intelligence); mobile robots; multi-agent systems; multi-robot systems; RoboCup soccer; multiagent solution; reinforcement learning; unforecast environment; Artificial intelligence; Computational modeling; Humans; Intelligent robots; Machine learning; Multiagent systems; Robot kinematics; Robot sensing systems; Software standards; Strategic planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380667
Filename
1380667
Link To Document