NDLI: State Space Segmentation for Acquisition of Agent Behavior

Content Provider	IEEE Xplore Digital Library
Author	Ueda, H. Naraki, T. Yo Nasu Takahashi, K. Miyahara, T.
Copyright Year	2006
Description	Author affiliation: Hiroshima City Univ., Hiroshima (Ueda, H.)
Abstract	We propose a new method to categorize continuous numeric percepts for Q-learning, where percept vectors are classified into categories and Q-learning uses categories as states to acquire rules for agent behavior. In the proposed method, categories are represented by hyper-spheres. A percept vector is classified into a category that covers the vector and is the nearest from it. For efficient reinforcement learning, category merging is provided with the method, where the number of parameters to control category merging in the method is fewer than that in modified fuzzy ART. The proposed method is combined with Q- learning and it is compared with Q-learning with original and modified fuzzy ART. Experimental results show that our method learns good rules for agent behavior more efficiently than Q-learning with modified fuzzy ART.
Starting Page	440
Ending Page	446
File Size	5061526
Page Count	7
File Format	PDF
ISBN	0769527485
DOI	10.1109/IAT.2006.113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	State-space methods Subspace constraints Learning Merging Optimization methods Fuzzy control Cities and towns Computational efficiency Euclidean distance Testing
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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