| Conflict-based search for optimal multi-agent pathfinding G Sharon, R Stern, A Felner, NR Sturtevant Artificial Intelligence 219, 40-66, 2015 | 1014 | 2015 |
| Multi-agent pathfinding: Definitions, variants, and benchmarks R Stern, N Sturtevant, A Felner, S Koenig, H Ma, T Walker, J Li, D Atzmon, ... Proceedings of the International Symposium on Combinatorial Search 10 (1 …, 2019 | 464 | 2019 |
| The increasing cost tree search for optimal multi-agent pathfinding G Sharon, R Stern, M Goldenberg, A Felner Artificial intelligence 195, 470-495, 2013 | 381 | 2013 |
| Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem M Barer, G Sharon, R Stern, A Felner Proceedings of the International Symposium on Combinatorial Search 5 (1), 19-27, 2014 | 312 | 2014 |
| Icbs: The improved conflict-based search algorithm for multi-agent pathfinding E Boyarski, A Felner, R Stern, G Sharon, O Betzalel, D Tolpin, E Shimony Proceedings of the International Symposium on Combinatorial Search 6 (1 …, 2015 | 272 | 2015 |
| Search-based optimal solvers for the multi-agent pathfinding problem: Summary and challenges A Felner, R Stern, S Shimony, E Boyarski, M Goldenberg, G Sharon, ... Proceedings of the International Symposium on Combinatorial Search 8 (1), 29-37, 2017 | 205 | 2017 |
| Enhanced partial expansion A M Goldenberg, A Felner, R Stern, G Sharon, N Sturtevant, RC Holte, ... Journal of Artificial Intelligence Research 50, 141-187, 2014 | 172 | 2014 |
| Efficient SAT approach to multi-agent path finding under the sum of costs objective P Surynek, A Felner, R Stern, E Boyarski Proceedings of the twenty-second european conference on artificial …, 2016 | 160 | 2016 |
| Multi-agent pathfinding with continuous time A Andreychuk, K Yakovlev, P Surynek, D Atzmon, R Stern Artificial Intelligence 305, 103662, 2022 | 143 | 2022 |
| Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem N Ofek, L Rokach, R Stern, A Shabtai Neurocomputing 243, 88-102, 2017 | 129 | 2017 |
| Exploring the duality in conflict-directed model-based diagnosis R Stern, M Kalech, A Feldman, G Provan Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 828-834, 2012 | 107 | 2012 |
| Partial-expansion A* with selective node generation A Felner, M Goldenberg, G Sharon, R Stern, T Beja, N Sturtevant, ... Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 471-477, 2012 | 83 | 2012 |
| Meta-agent conflict-based search for optimal multi-agent path finding G Sharon, R Stern, A Felner, N Sturtevant Proceedings of the International Symposium on Combinatorial Search 3 (1), 97-104, 2012 | 83 | 2012 |
| A novel sat-based approach to model based diagnosis A Metodi, R Stern, M Kalech, M Codish Journal of Artificial Intelligence Research 51, 377-411, 2014 | 78 | 2014 |
| Multi-agent path finding–an overview R Stern Artificial Intelligence: 5th RAAI Summer School, Dolgoprudny, Russia, July 4 …, 2019 | 77 | 2019 |
| Research challenges and opportunities in multi-agent path finding and multi-agent pickup and delivery problems O Salzman, R Stern Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 75 | 2020 |
| PHA*: Finding the shortest path with A* in an unknown physical environment A Felner, R Stern, A Ben-Yair, S Kraus, N Netanyahu Journal of Artificial Intelligence Research 21, 631-670, 2004 | 72 | 2004 |
| Online multi-agent pathfinding J Švancara, M Vlk, R Stern, D Atzmon, R Barták Proceedings of the AAAI conference on artificial intelligence 33 (01), 7732-7739, 2019 | 61 | 2019 |
| Potential search: A bounded-cost search algorithm R Stern, R Puzis, A Felner Proceedings of the International Conference on Automated Planning and …, 2011 | 60 | 2011 |
| Don't split, try to work it out: Bypassing conflicts in multi-agent pathfinding E Boyrasky, A Felner, G Sharon, R Stern Proceedings of the International Conference on Automated Planning and …, 2015 | 55 | 2015 |
