Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7050
Title: Explorations of the Practical Issues of Learning Prediction-Control Tasks Using Temporal Difference Learning Methods
Issue Date: 9-Oct-2013
Description: There has been recent interest in using temporal difference learning methods to attack problems of prediction and control. While these algorithms have been brought to bear on many problems, they remain poorly understood. It is the purpose of this thesis to further explore these algorithms, presenting a framework for viewing them and raising a number of practical issues and exploring those issues in the context of several case studies. This includes applying the TD(lambda) algorithm to: 1) learning to play tic-tac-toe from the outcome of self-play and of play against a perfectly-playing opponent and 2) learning simple one-dimensional segmentation tasks.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: AITR-1424
http://hdl.handle.net/1721.1/7050
Appears in Collections:MIT Items

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