DocumentCode :
1904077
Title :
Social Reinforcement Learning in Game Playing
Author :
Kiourt, C. ; Kalles, Dimitris
Author_Institution :
Sch. of Sci. & Technol., Hellenic Open Univ., Patras, Greece
Volume :
1
fYear :
2012
fDate :
7-9 Nov. 2012
Firstpage :
322
Lastpage :
326
Abstract :
In this work we discuss Social Reinforcement Learning on self-trained agents. We simulate social learning by implementing a tournament on an existing board game that utilizes reinforcement learning for playing and learning. The socially trained agents are compared to self-trained agents and their superior performance is noted. The findings and the infrastructure requirements mandate the development of a Social Reinforcement Learning Multi-Agent-Based Simulation platform.
Keywords :
computer games; learning (artificial intelligence); multi-agent systems; board game; game playing; multiagent-based simulation platform; self-trained agent; social reinforcement learning; socially trained agent; Artificial intelligence; Conferences; Board Games; Multi-Agent Systems; Reinforcement Learning; Social Learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location :
Athens
ISSN :
1082-3409
Print_ISBN :
978-1-4799-0227-9
Type :
conf
DOI :
10.1109/ICTAI.2012.51
Filename :
6495063
Link To Document :
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