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Christopher Archibald
Christopher Archibald
Assistant Professor of Computer Science, Brigham Young University
Verified email at cs.byu.edu
Title
Cited by
Cited by
Year
Modeling billiards games.
C Archibald, Y Shoham
AAMAS (1), 193-199, 2009
402009
Analysis of a Winning Computational Billiards Player.
C Archibald, A Altman, Y Shoham
IJCAI 9, 1377-1382, 2009
352009
Computational pool: A new challenge for game theory pragmatics
C Archibald, A Altman, M Greenspan, Y Shoham
AI Magazine 31 (4), 33-41, 2010
262010
Monte Carlo*-minimax search
M Lanctot, A Saffidine, J Veness, C Archibald, MHM Winands
International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013
232013
Mechanical design, prototyping, and validation of a Martian robot mining system
Y Liu, J Batte, Z Collins, J Bateman, J Atkins, M Davis, D Salley, CL Bethel, ...
SAE International Journal of Passenger Cars-Mechanical Systems 10 (2017-01 …, 2017
212017
Success, strategy and skill: an experimental study
C Archibald, A Altman, Y Shoham
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
152010
Automating collusion detection in sequential games
P Mazrooei, C Archibald, M Bowling
Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 675-682, 2013
122013
Human motion prediction for indoor mobile relay networks
C Archibald, Y Zhang, J Liu
2011 IEEE International Conference on High Performance Computing and …, 2011
112011
Real-time metacognition feedback for introductory programming using machine learning
PJ Beck, MJ Mohammadi-Aragh, C Archibald, BA Jones, A Barton
2018 IEEE Frontiers in Education Conference (FIE), 1-5, 2018
102018
A simple approach to a vision-guided unmanned vehicle
C Archibald, E Millar, JD Anderson, JK Archibald, DJ Lee
Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and …, 2005
102005
A Survey of Security in Robotic Systems: Vulnerabilities, Attacks, and Solutions
C Archibald, L Schwalm, JE Ball
International Journal of Robotics and Automation 32 (2), 2017
82017
Baseline: practical control variates for agent evaluation in zero-sum domains
J Davidson, C Archibald, M Bowling
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
82013
Hustling in repeated zero-sum games with imperfect execution
C Archibald, Y Shoham
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
72011
Bayesian execution skill estimation
C Archibald, D Nieves-Rivera
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6014-6021, 2019
42019
Model ai assignments 2019
TW Neller, R Sooriamurthi, M Guerzhoy, L Zhang, P Talaga, C Archibald, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9751-9753, 2019
42019
An initial exploration of machine learning techniques to classify source code comments in real-time
P Beck, MJ Mohammadi-Aragh, C Archibald
2019 ASEE Annual Conference & Exposition, 2019
42019
Execution skill estimation
C Archibald, D Nieves-Rivera
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
42018
A Distributed Agent for Computational Pool
C Archibald, Y Shoham, A Altman
IEEE Transactions on Computational Intelligence and AI in Games 8 (2), 190-202, 2016
42016
Measuring conflict in a Multi-source environment as a normal measure
P Wei, JE Ball, DT Anderson, A Harsh, C Archibald
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
42015
The baseline approach to agent evaluation
J Davidson, C Archibald, M Bowling
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
22013
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