| Modeling billiards games. C Archibald, Y Shoham AAMAS (1), 193-199, 2009 | 40 | 2009 |
| Analysis of a Winning Computational Billiards Player. C Archibald, A Altman, Y Shoham IJCAI 9, 1377-1382, 2009 | 37 | 2009 |
| Computational pool: A new challenge for game theory pragmatics C Archibald, A Altman, M Greenspan, Y Shoham AI Magazine 31 (4), 33-41, 2010 | 26 | 2010 |
| Monte Carlo*-minimax search M Lanctot, A Saffidine, J Veness, C Archibald, MHM Winands International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013 | 23 | 2013 |
| 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 | 22 | 2017 |
| Success, strategy and skill: an experimental study C Archibald, A Altman, Y Shoham Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 16 | 2010 |
| 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 | 14 | 2013 |
| Human motion prediction for indoor mobile relay networks C Archibald, Y Zhang, J Liu 2011 IEEE International Conference on High Performance Computing and …, 2011 | 11 | 2011 |
| 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 | 10 | 2018 |
| 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 | 10 | 2005 |
| 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 | 9 | 2013 |
| 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 | 8 | 2017 |
| Hustling in repeated zero-sum games with imperfect execution C Archibald, Y Shoham Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 7 | 2011 |
| Bayesian execution skill estimation C Archibald, D Nieves-Rivera Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6014-6021, 2019 | 5 | 2019 |
| Execution skill estimation C Archibald, D Nieves-Rivera Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 5 | 2018 |
| 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 | 4 | 2019 |
| 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 | 4 | 2019 |
| 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 | 4 | 2016 |
| 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 | 4 | 2015 |
| Adapting to Teammates in a Cooperative Language Game C Archibald, S Brosnahan arXiv preprint arXiv:2403.00823, 2024 | 2 | 2024 |
