NDLI: Monte-Carlo Go Reinforcement Learning Experiments

Content Provider	IEEE Xplore Digital Library
Author	Bouzy, B. Chaslot, G.
Copyright Year	2006
Description	Author affiliation: UFR de mathematiques et d'informatique, Univ. Rene Descartes, Paris (Bouzy, B.)
Abstract	This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture. Currently, Monte-Carlo is a popular technique for computer Go. In a previous study, Monte-Carlo was associated with domain-dependent knowledge in the Go-playing program Indigo. In 2003, a 3times3 pattern database was built manually. This paper explores the possibility of using reinforcement learning to automatically tune the 3times3 pattern urgencies. On 9times9 boards, within the Monte-Carlo architecture of Indigo, the result obtained by our automatic learning experiments is better than the manual method by a 3-point margin on average, which is satisfactory. Although the current results are promising on 19times19 boards, obtaining strictly positive results with such a large size remains to be done
Starting Page	187
Ending Page	194
File Size	3234970
Page Count	8
File Format	PDF
ISBN	1424404649
DOI	10.1109/CIG.2006.311699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning Computer science Performance evaluation Vocabulary Databases Computational modeling Computer Go Humans Computer architecture Reinforcement Learning Monte-Carlo Distributed computing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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