Learning Transfer Automatic Through Data Mining in Reinforcement Learning

Provided by: International Journal of Computer Applications
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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 the users' 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. The authors 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).

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