NDLI: Q-Learning with Probability Based Action Policy

Content Provider	IEEE Xplore Digital Library
Author	Ugurlu, E.S. Biricik, G.
Copyright Year	2006
Description	Author affiliation: Bipgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul (Ugurlu, E.S.; Biricik, G.)
Abstract	In Q-learning, the aim is to reach the goal by using state and action pairs. When the goal is set as a big reward, the optimal path is found as soon as the reward accumulated reaches its highest value. Upon modification of the start and goal points, the information concerning how to reach the goal becomes useless even if the environment does not change. In this study, Q-learning is improved by making the usage of the past data possible. To achieve this, action probabilities for certain start and goal points are found and a neural network is trained with those values to estimate the action probabilities for other start and goal points. A radial basis function network is used as neural network for it can support local representation and can learn fast when there is a few number of inputs. When Q-learning is run with the found action probabilities, an increase in speed is observed in reaching the goal
Starting Page	1
Ending Page	4
File Size	2470052
Page Count	4
File Format	PDF
ISBN	1424402387
DOI	10.1109/SIU.2006.1659880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-17
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Influenza Radial basis function networks Robots
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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