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Journal Articles
- 2013
[j3]Peter Drake:
Games, computer science, and education. Comput. Sci. Educ. 23(2): 85-86 (2013)- 2009
- [j2]Seth Pellegrino, A. Hubbard, J. Galbraith, Peter Drake, Yung-Pin Chen:
Localizing Search in Monte-Carlo Go using Statistical Covariance. J. Int. Comput. Games Assoc. 32(3): 154-160 (2009) - [j1]Peter Drake:
The Last-Good-Reply Policy for Monte-Carlo Go. J. Int. Comput. Games Assoc. 32(4): 221-227 (2009)
Conference and Workshop Papers
- 2020
- [c10]Erik Nilsen, Elizabeth Safran, Peter Drake, Bryan Sebok:
Playing a Serious Game for Earthquake Preparedness: Effects of Resource Richness and Avatar Choice. CHI Extended Abstracts 2020: 1-7 - 2018
- [c9]Travis Mandel, Jens Mache, Richard Weiss, Peter Drake:
Building Out Data Science at Small Colleges: (Abstract Only). SIGCSE 2018: 1081 - 2014
- [c8]Peter Drake, Mark H. Goadrich:
Learn Java in N games (abstract only). SIGCSE 2014: 748 - 2011
- [c7]Peter Drake, Kelvin Sung:
Teaching introductory programming with popular board games. SIGCSE 2011: 619-624 - 2010
- [c6]Jessica Mullins, Peter Drake:
Using Human knowledge to Improve Opening Strategy in Computer Go. IC-AI 2010: 730-734 - [c5]Seth Pellegrino, Peter Drake:
Investigating the Effects of Playout Strength in Monte-Carlo Go. IC-AI 2010: 1015-1018 - 2009
- [c4]John Stogin, Yung-Pin Chen, Peter Drake, Seth Pellegrino:
The Beta Distribution in the UCB Algorithm Applied to Monte-Carlo Go. IC-AI 2009: 521-524 - 2008
- [c3]Peter Drake, Yung-Pin Chen:
Coevolving Partial Strategies for the Game of Go. GEM 2008: 312-318 - 2007
- [c2]Peter Drake, Steve Uurtamo:
Heuristics in Monte Carlo Go. IC-AI 2007: 171-175 - 2006
- [c1]Peter Drake, Niku Schreiner, Brett Tomlin, Loring Veenstra:
An Efficient Algorithm For Eyespace Classification In Go. IC-AI 2006: 472-478
Coauthor Index
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