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Click here for Roman's personal webpage.
- D. Atzmon, R. Stern, A. Felner, G. Wagner, R. Bartak and N.-F. Zhou. Robust Multi-Agent Path Finding and Executing. Journal of Artificial Intelligence Research (JAIR), 67, 549-579, 2020.
- R. Stern, N. Sturtevant, A. Felner, S. Koenig, H. Ma, T. Walker, J. Li, D. Atzmon, L. Cohen, S. Kumar, E. Boyarski and R. Bartak. Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks [Position Paper]. In Proceedings of the Symposium on Combinatorial Search (SoCS), (in print), 2019.
- J. Svancara, M. Vlk, R. Stern, D. Atzmon and R. Bartak. Online Multi-Agent Pathfinding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), (in print), 2019.
- J. Svancara and R. Bartak. Combining Strengths of Optimal Multi-Agent Path Finding Algorithms. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), 226-231, 2019.
- R. Bartak, J. Svancara, V. Skopkova and D. Nohejl. Multi-Agent Path Finding on Real Robots: First Experience with Ozobots. In Proceedings of the Ibero-American Conference on Artificial Intelligence (IBERAMIA), 290-301, 2018. Best IBERAMIA Paper Award.
- R. Bartak, J. Svancara and M. Vlk. A Scheduling-Based Approach to Multi-Agent Path Finding with Weighted and Capacitated Arcs. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 748-756 , 2018.
- R. Bartak, J. Svancara and M. Vlk. Scheduling Models for Multi-Agent Path Finding. In Proceedings of the Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), 189-200, 2017.
- R. Barak, N. Zhou, R. Stern, E. Boyarski and P. Surynek. Modeling and Solving the Multi-Agent Pathfinding Problem in Picat. In Proceedings of the International Conference on Tools with Artificial Intelligence (ICTAI), 959-966, 2017.
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