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Peigang Zhang
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People
* Peigang Zhang
Peigang (Peter) Zhang
,
a
Chinese American
computer scientist and software development engineer at
Microsoft
. He holds a Ph.D. in 2008 from
University of North Carolina at Charlotte
, where he worked with
Ken Chen
on
search algorithms
including a knowledge guided
Monte-Carlo Tree Search
in the domain of
Go
[1]
.
Peigang Zhang
[2]
Table of Contents
Selected Publications
External Links
References
What links here?
Selected Publications
[3]
Ken Chen
,
Peigang Zhang
(
2006
).
A New Heuristic Search Algorithm for Capturing Problems in Go
.
ICGA Journal, Vol. 29, No. 4
Ken Chen
,
Peigang Zhang
(
2006
).
A New Heuristic Search Algorithm for Capturing Problems in Go
.
CG 2006
Ken Chen
,
Peigang Zhang
(
2007
).
Monte-Carlo Go with Knowledge-Guided Simulations
.
CGW 2007
Ken Chen
,
Peigang Zhang
(
2008
).
Monte-Carlo Go with Knowledge-Guided Simulations
.
ICGA Journal, Vol. 31, No. 2
Ken Chen
,
Dawei Du
,
Peigang Zhang
(
2008
).
A Fast Indexing Method for Monte-Carlo Go
.
CG 2008
Peigang Zhang
,
Ken Chen
(
2008
).
Monte-Carlo Go Capturing Tactic Search
.
New Mathematics and Natural Computation
, Vol. 4, No. 3
Ken Chen
,
Dawei Du
,
Peigang Zhang
(
2009
).
Monte-Carlo Tree Search and Computer Go
.
Advances in Information and Intelligent Systems 2009
External Links
Peigang (Peter) Zhang | LinkedIn
References
^
Ken Chen
,
Peigang Zhang
(
2008
).
Monte-Carlo Go with Knowledge-Guided Simulations
.
ICGA Journal, Vol. 31, No. 2
,
CGW 2007
^
Peigang (Peter) Zhang | LinkedIn
^
DBLP: Peigang Zhang
What links here?
Page
Date Edited
CG 2006
Dec 28, 2016
CG 2008
Jan 3, 2017
CGW 2007
Jan 2, 2017
Dawei Du
Dec 28, 2016
Go
Jan 24, 2018
ICGA Journal
Dec 21, 2017
Keh-Hsun Chen
Jan 16, 2017
Monte-Carlo Tree Search
Apr 26, 2018
Peigang Zhang
Jan 2, 2017
People
Feb 28, 2018
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a Chinese American computer scientist and software development engineer at Microsoft. He holds a Ph.D. in 2008 from University of North Carolina at Charlotte, where he worked with Ken Chen on search algorithms including a knowledge guided Monte-Carlo Tree Search in the domain of Go [1].
Table of Contents
Selected Publications
[3]External Links
References
What links here?
Up one level