Nathan R. Sturtevant, Ph.D.
Affiliations: | 2003 | University of California, Los Angeles, Los Angeles, CA |
Area:
artificial intelligence, including problem-solving, heuristic search, planning and parallel processingGoogle:
"Nathan Sturtevant"Parents
Sign in to add mentor| Richard Korf | grad student | 2003 | UCLA | |
| (Multiplayer games: Algorithms and approaches.) | ||||
Children
Sign in to add trainee| David M. Chan | research assistant | 2013-2017 | University of Denver (E-Tree) |
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Publications
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| Holte RC, Felner A, Sharon G, et al. (2017) MM: A bidirectional search algorithm that is guaranteed to meet in the middle Artificial Intelligence. 252: 232-266 |
| Sturtevant NR, Bulitko V. (2016) Scrubbing during learning in real-time heuristic search Journal of Artificial Intelligence Research. 57: 307-343 |
| Sharon G, Stern R, Felner A, et al. (2015) Conflict-based search for optimal multi-agent pathfinding Artificial Intelligence. 219: 40-66 |
| Borrajo D, Felner A, Korf RE, et al. (2014) The Fifth Annual Symposium on Combinatorial Search Ai Communications. 27: 327-328 |
| Agrawal V, Baier J, Bekris K, et al. (2012) Reports of the AAAI 2012 conference workshops Ai Magazine. 33: 119-127 |
| Sturtevant NR. (2012) Benchmarks for grid-based pathfinding Ieee Transactions On Computational Intelligence and Ai in Games. 4: 144-148 |
| Felner A, Zahavi U, Holte R, et al. (2011) Inconsistent heuristics in theory and practice Artificial Intelligence. 175: 1570-1603 |
| Kirci M, Sturtevant NR, Schaeffer J. (2011) A GGP Feature Learning Algorithm KüNstliche Intelligenz. 25: 35-42 |
| Bulitko V, Björnsson Y, Sturtevant NR, et al. (2011) Real-time heuristic search for pathfinding in video games Artificial Intelligence For Computer Games. 1-30 |
| Moldenhauer C, Sturtevant NR. (2009) Evaluating strategies for running from the cops Ijcai International Joint Conference On Artificial Intelligence. 584-589 |