A lot of relevant material can be found in this excellent site managed by Sven Koenig
http://mapf.info/index.php/Main/HomePage
In addition, here is a partial list of relevant papers, some of which we will cover in the seminar:
- P.Surynek, A. Felner, R. Stern, and E. Boyarski. E_cient SAT approach tomulti-agent path finding under the sum of costs objective. In ECAI, pages 810-818. IOS Press, 2016.
- E. Erdem,D. G. Kisa, U. Oztok, and P. Schuller. A general formal framework for pathfinding problems with multiple agents. In AAAI,2013.
- E.Boyarski, A. Felner, R. Stern, G. Sharon, D. Tolpin, O. Betzalel, and S. E.Shimony. ICBS: improved conflict-based search algorithm for multi-agentpath_nding. In IJCAI, pages740-746, 2015.
- J. Li, A.Felner, E. Boyarski, H. Ma and S. Koenig. Improved Heuristics for Multi-AgentPath Finding with Conflict-Based Search. In Proceedings of theInternational Joint Conference on Artificial Intelligence (IJCAI), (inprint), 2019.
- J. Li, H.Zhang, M. Gong, Z. Liang, W. Liu, Z. Tong, L. Yi, R. Morris, C. Pasareanu andS. Koenig. Schedulingand Airport Taxiway Path Planning under Uncertainty. In Proceedingsof the AIAA Aviation Forum and Exposition (AIAA), (in print), 2019.
- H. Ma, D.Harabor, P. Stuckey, J. Li and S. Koenig. Searching with ConsistentPrioritization for Multi-Agent Path Finding. In Proceedings ofthe AAAI Conference on Artificial Intelligence (AAAI), (in print), 2019.
- G.Sartoretti, J. Kerr, Y. Shi, G. Wagner, S. Kumar, S. Koenig and H.Choset. PRIMAL:Pathfinding via Reinforcement and Imitation Multi-Agent Learning. IEEERobotics and Automation Letters, (in print), 2019.
- M. Liu,H. Ma, J. Li and S. Koenig. Task and Path Planning forMulti-Agent Pickup and Delivery. In Proceedings of theInternational Joint Conference on Autonomous Agents and Multiagent Systems(AAMAS), (in print), 2019.
- J. Wang,J. Li, H. Ma, S. Koenig and S. Kumar. A New Constraint SatisfactionPerspective on Multi-Agent Path Finding: Preliminary Results.In Proceedings of the International Joint Conference on Autonomous Agentsand Multiagent Systems (AAMAS), (in print), 2019.