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Peter Drake
Peter Drake
Associate Professor of Computer Science, Lewis & Clark College
Email verificata su lclark.edu
Titolo
Citata da
Citata da
Anno
The power of forgetting: Improving the last-good-reply policy in Monte Carlo Go
H Baier, PD Drake
IEEE Transactions on Computational Intelligence and AI in Games 2 (4), 303-309, 2010
842010
Heuristics in Monte Carlo Go.
P Drake, S Uurtamo
IC-AI, 171-175, 2007
622007
Teaching introductory programming with popular board games
P Drake, K Sung
Proceedings of the 42nd ACM technical symposium on Computer science …, 2011
612011
The last-good-reply policy for Monte-Carlo Go
P Drake
Icga Journal 32 (4), 221-227, 2009
462009
Data structures and algorithms in Java
P Drake
Prentice-Hall, Inc., 2005
322005
Coevolving Partial Strategies for the Game of Go.
P Drake, YP Chen
GEM, 312-318, 2008
102008
Developing a computer strategy game in an undergraduate course in software development using extreme programming
P Drake, N Kerr
Journal of Computing Sciences in Colleges 22 (2), 39-45, 2006
82006
Localizing search in Monte-Carlo Go using statistical covariance
S Pellegrino, A Hubbard, J Galbraith, P Drake, YP Chen
Icga Journal 32 (3), 154-160, 2009
72009
Pattern matching in the game of GO
P Drake, J Levenick, L Veenstra, A Venghaus
online at https://webdisk. lclark. edu/xythoswfs/webui/_xy-13651_1-tid_j DVKYDTf, 2007
62007
Precursors to number: Making the most of continuous amount
P Drake, K Mix, M Clearfield
Proceedings of the Annual Meeting of the Cognitive Science Society 22 (22), 2000
62000
Two online learning playout policies in Monte Carlo Go: An application of win/loss states
J Basaldúa, S Stewart, JM Moreno-Vega, PD Drake
IEEE Transactions on Computational Intelligence and AI in Games 6 (1), 46-54, 2013
42013
Using Human knowledge to Improve Opening Strategy in Computer Go.
J Mullins, P Drake
IC-AI, 730-734, 2010
42010
Move ordering vs heavy playouts: Where should heuristics be applied in Monte Carlo Go
P Drake, S Uurtamo
Proceedings of the, 2007
42007
The proximity heuristic and an opening book in Monte Carlo Go
P Drake, A Pouliot, N Schreiner, B Vanberg
AAAI, 2007
32007
Adding parallel Haskell to the undergraduate programming language course
DP Bunde, J Mache, P Drake
J. Comput. Sci. Coll 30 (1), 181-189, 2014
22014
The Beta Distribution in the UCB Algorithm Applied to Monte-Carlo Go.
J Stogin, YP Chen, P Drake, S Pellegrino
IC-AI, 521-524, 2009
22009
Multitask constructive induction
P Drake
Online Proceedings of the 1996 Midwest Artificial Intelligence and Cognitive …, 1996
21996
Rehearsing Disaster: Can Video Games Help Young Adults Prepare for Earthquakes?
E Safran, P Drake, E Nilsen, B Sebok, B Ballesteros, A Paris, L Parezanin, ...
EGU General Assembly Conference Abstracts, EGU22-10987, 2022
12022
Playing a serious game for earthquake preparedness: Effects of resource richness and avatar choice
E Nilsen, E Safran, P Drake, B Sebok
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
12020
Go: the deepest game
P Drake
Journal of Computing Sciences in Colleges 30 (1), 113-113, 2014
12014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20