| Real-time strategy games: A new AI research challenge M Buro IJCAI 2003, 1534-1535, 2003 | 274 | 2003 |
| Report on a SAT competition M Buro, HK Büning Fachbereich Math.-Informatik, Univ. Gesamthochschule, 1992 | 203 | 1992 |
| Efficient triangulation-based pathfinding D Demyen, M Buro Aaai 6, 942-947, 2006 | 200 | 2006 |
| Partial pathfinding using map abstraction and refinement N Sturtevant, M Buro AAAI 5, 1392-1397, 2005 | 192 | 2005 |
| Monte Carlo planning in RTS games M Chung | 160 | 2005 |
| From simple features to sophisticated evaluation functions M Buro Computers and Games 98, 126-145, 1998 | 155 | 1998 |
| The Othello match of the year: Takeshi Murakami vs. Logistello M Buro ICGA Journal 20 (3), 189-193, 1997 | 154 | 1997 |
| Fast heuristic search for RTS game combat scenarios D Churchill, A Saffidine, M Buro Proceedings of the AAAI conference on artificial intelligence and …, 2012 | 152 | 2012 |
| Portfolio greedy search and simulation for large-scale combat in StarCraft D Churchill, M Buro 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013 | 142 | 2013 |
| Build order optimization in starcraft D Churchill, M Buro Proceedings of the AAAI Conference on Artificial Intelligence and …, 2011 | 135 | 2011 |
| Call for AI research in RTS games M Buro Proceedings of the AAAI-04 Workshop on Challenges in Game AI, 139-142, 2004 | 129 | 2004 |
| Improving heuristic mini-max search by supervised learning M Buro Artificial Intelligence 134 (1-2), 85-99, 2002 | 120 | 2002 |
| Probcut: An effective selective extension of the α-β algorithm M Buro ICGA Journal 18 (2), 71-76, 1995 | 118 | 1995 |
| RTS games and real-time AI research M Buro, TM Furtak Proceedings of the Behavior Representation in Modeling and Simulation …, 2004 | 116 | 2004 |
| Understanding the success of perfect information monte carlo sampling in game tree search J Long, N Sturtevant, M Buro, T Furtak Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 134-140, 2010 | 110 | 2010 |
| ORTS: A hack-free RTS game environment M Buro Computers and Games: Third International Conference, CG 2002, Edmonton …, 2003 | 101 | 2003 |
| Adversarial planning through strategy simulation F Sailer, M Buro, M Lanctot 2007 IEEE symposium on computational intelligence and games, 80-87, 2007 | 99 | 2007 |
| Real-time strategy game competitions M Buro, D Churchill Ai Magazine 33 (3), 106-106, 2012 | 95 | 2012 |
| Experiments with Multi-ProbCut and a new high-quality evaluation function for Othello M Buro Games in AI Research 34 (4), 77-96, 1997 | 94 | 1997 |
| Improving state evaluation, inference, and search in trick-based card games M Buro, JR Long, T Furtak, N Sturtevant Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 90 | 2009 |
