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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380667
