Difference between revisions of "Martin C. Smith"
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=Selected Publications= | =Selected Publications= | ||
| − | <ref>[https://dblp.uni-trier.de/pers/hd/s/Smith:Martin_C=.html dblp: Martin C. Smith]</ref> <ref>[ | + | <ref>[https://dblp.uni-trier.de/pers/hd/s/Smith:Martin_C=.html dblp: Martin C. Smith]</ref> <ref>[[ICGA Journal#RefDB|ICGA Reference Database]]</ref> |
==1994== | ==1994== | ||
* [[Don Beal]], [[Martin C. Smith]] ('''1994'''). ''Random Evaluations in Chess''. [[ICGA Journal#17_1|ICCA Journal, Vol. 17, No. 1]] | * [[Don Beal]], [[Martin C. Smith]] ('''1994'''). ''Random Evaluations in Chess''. [[ICGA Journal#17_1|ICCA Journal, Vol. 17, No. 1]] | ||
Latest revision as of 17:47, 16 November 2020
Home * People * Martin C. Smith
Martin C. Smith,
a British computer scientist, and former research staff at Department of Computer Science, Queen Mary and Westfield College of London.
Smith co-authored with Don Beal on various computer chess and computer Shogi related papers, in particular on the topic of Temporal Difference Learning.
Selected Publications
1994
- Don Beal, Martin C. Smith (1994). Random Evaluations in Chess. ICCA Journal, Vol. 17, No. 1
- Don Beal, Martin C. Smith (1994). Random Evaluations in Chess. Advances in Computer Chess 7
199´5 ...
- Don Beal, Martin C. Smith (1995). Quantification of Search-Extension Benefits. ICCA Journal, Vol. 18, No. 4
- Don Beal, Martin C. Smith (1996). Multiple Probes of Transposition Tables. ICCA Journal, Vol. 19, No. 4
- Don Beal, Martin C. Smith (1997). Learning Piece Values Using Temporal Differences. ICCA Journal, Vol. 20, No. 3
- Don Beal, Martin C. Smith (1998). First Results from Using Temporal Difference Learning in Shogi. CG 1998
- Don Beal, Martin C. Smith (1999). Temporal Coherence and Prediction Decay in TD Learning. IJCAI 1999, pdf
- Don Beal, Martin C. Smith (1999). Learning Piece-Square Values using Temporal Differences. ICCA Journal, Vol. 22, No. 4
2000 ...
- Don Beal, Martin C. Smith (2001). Temporal difference learning applied to game playing and the results of application to Shogi. Theoretical Computer Science, Vol. 252, Nos. 1-2
