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Learn all about Multi-Agent Path Finding (MAPF)

Publication

P. Surynek. Reduced Time-Expansion Graphs for Solving Cooperative Path Finding Sub-Optimally. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 1916-1922, 2015.


Abstract: Solving cooperative path finding (CPF) by translating it to propositional satisfiability represents a viable option in highly constrained situations. The task in CPF is to relocate agents from their initial positions to given goals in a collision free manner. In this paper, we propose a reduced time expansion that is focused on makespan sub-optimal solving. The suggested reduced time expansion is especially beneficial in conjunction with a goal decomposition where agents are relocated one by one.


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(last updated in 2019)