The Collection of
Computer Science Bibliographies

Bibliography on Machine Learning in Strategic Game Playing

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Number of references:525Last update:July 30, 2007
Number of online publications:249Supported:yes
Most recent reference:2004

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Information on the Bibliography

Author:
Johannes Fürnkranz <uffi @ ke . informatik . tu-darmstadt . de> (email mangled to prevent spamming)
Knowledge Engineering Group
Fachbereich Informatik
TU Darmstadt
S2|02 D203
Hochschulstrasse 10
D-64289 Darmstadt
Abstract:
This bibliography contains a variety of references concerning Machine Learning in Strategic Game Playing, i.e. on ideas how game playing programs can improve their play by learning from their own or others' experience. Included in the list are only references in which the application of a Machine Learning algorithm to a game playing problem forms a considerable part of the paper. Papers in Machine Learning that might be relevant for the problem, but not explicitly address game playing (like Sutton's paper on Temporal Difference Learning) have not been included. Likewise, papers that describe a game playing application that might be relevant for Machine Learning methods (like Wilkins's paper on PARADISE) have been omitted.
Keywords:
machine learning, strategic game playing, Chess, Checkers, Othello, Go, Go-Moku, Backgammon, Abalone, Connect-Four
Author Comments:
I am interested in all references to on-line or off-line ressources on this topic. If you happen to know anything that I seem to be unaware of please let me know!.

Browsing the bibliography

Bibliographic Statistics

Types:
inproceedings(232), article(125), incollection(70), techreport(35), mastersthesis(24), phdthesis(18), misc(10), book(9), proceedings(2)
Fields:
available(525), title(525), year(523), author(521), game(476), learning(425), pages(349), booktitle(303), url(244), address(235), publisher(208), editor(195), volume(140), journal(124), number(123), month(67), note(57), school(42), institution(36), series(23), chapter(18), organization(14), howpublished(5), type(4), edition(1)
Distribution of publication dates:
Distribution of publication dates

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