Peter Drake

According to our database, Peter Drake authored at least 22 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Playing a Serious Game for Earthquake Preparedness: Effects of Resource Richness and Avatar Choice.

Erik Nilsen, Elizabeth Safran, Peter Drake, Bryan Sebok

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2018

Building Out Data Science at Small Colleges: (Abstract Only).

Travis Mandel, Jens Mache, Richard Weiss, Peter Drake

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2016

A brief overview of machine learning with Python: tutorial presentation.

Genevieve Orr, Peter Drake, Judith Bayard Cushing

J. Comput. Sci. Coll., 2016

2014

Two Online Learning Playout Policies in Monte Carlo Go: An Application of Win/Loss States.

Jacques Basaldua, Sam Stewart, J. Marcos Moreno-Vega, Peter D. Drake

IEEE Trans. Comput. Intell. AI Games, 2014

Go: the deepest game.

Peter Drake

J. Comput. Sci. Coll., 2014

Adding parallel Haskell to the undergraduate programming language course.

David P. Bunde, Jens Mache, Peter Drake

J. Comput. Sci. Coll., 2014

Learn Java in N games (abstract only).

Peter Drake, Mark H. Goadrich

Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014

2013

Games, computer science, and education.

Peter Drake

Comput. Sci. Educ., 2013

2011

Learn Java in N Games.

Peter Drake

J. Comput. Sci. Coll., 2011

Teaching introductory programming with popular board games.

Peter Drake, Kelvin Sung

Proceedings of the 42nd ACM technical symposium on Computer science education, 2011

2010

The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go.

Hendrik Baier, Peter D. Drake

IEEE Trans. Comput. Intell. AI Games, 2010

Investigating the Effects of Playout Strength in Monte-Carlo Go.

Seth Pellegrino, Peter Drake

Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

Using Human knowledge to Improve Opening Strategy in Computer Go.

Jessica Mullins, Peter Drake

Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

2009

Localizing Search in Monte-Carlo Go using Statistical Covariance.

Seth Pellegrino, A. Hubbard, J. Galbraith, Peter Drake, Yung-Pin Chen

J. Int. Comput. Games Assoc., 2009

The Last-Good-Reply Policy for Monte-Carlo Go.

Peter Drake

J. Int. Comput. Games Assoc., 2009

The Beta Distribution in the UCB Algorithm Applied to Monte-Carlo Go.

John Stogin, Yung-Pin Chen, Peter Drake, Seth Pellegrino

Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008

Coevolving Partial Strategies for the Game of Go.

Peter Drake, Yung-Pin Chen

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

2007

Heuristics in Monte Carlo Go.

Peter Drake, Steve Uurtamo

Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2006

Games in the computer science classroom.

Peter Drake, Genevieve Orr, Judith Bayard Cushing

J. Comput. Sci. Coll., 2006

Developing a computer strategy game in an undergraduate course in software development using extreme programming.

Peter Drake, Nigel Kerr

J. Comput. Sci. Coll., 2006

An Efficient Algorithm For Eyespace Classification In Go.

Peter Drake, Niku Schreiner, Brett Tomlin, Loring Veenstra

Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

2005

Conducting research with undergraduates.

Karen Ward, Judith Bayard Cushing, Peter Drake, James D. Fix

J. Comput. Sci. Coll., 2005