International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 88 - Issue 13 |
Published: February 2014 |
Authors: Zeinab Arabasadi, Nafiseh Didkar |
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Zeinab Arabasadi, Nafiseh Didkar . Learning Transfer Automatic through Data Mining in Reinforcement Learning. International Journal of Computer Applications. 88, 13 (February 2014), 10-12. DOI=10.5120/15411-3885
@article{ 10.5120/15411-3885, author = { Zeinab Arabasadi,Nafiseh Didkar }, title = { Learning Transfer Automatic through Data Mining in Reinforcement Learning }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 88 }, number = { 13 }, pages = { 10-12 }, doi = { 10.5120/15411-3885 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Zeinab Arabasadi %A Nafiseh Didkar %T Learning Transfer Automatic through Data Mining in Reinforcement Learning%T %J International Journal of Computer Applications %V 88 %N 13 %P 10-12 %R 10.5120/15411-3885 %I Foundation of Computer Science (FCS), NY, USA
One of the problems in reinforcement learning is that as the environment becomes more complex, the number of parameters used in decision making increase which leads us to a slow decision making process. The main idea here is to come up with a new algorithm which is able to transfer the information, using data mining techniques in extracting the patterns. We introduce a new algorithm for state transitions and actions which happen during the transfer by the agent are saved as a data set for data mining techniques which is presented Learning With Action Transfer (LAT). The main idea is to use the repeated action in each state, as a pattern in similar states as a means to improve learning speed and performance. The results in our algorithm will be compared to the results in Q-learning algorithm. .