Meta-Agent Conflict-Based Search For Optimal Multi-Agent Path Finding.

作者: Nathan R. Sturtevant , Ariel Felner , Roni Stern , Guni Sharon

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摘要: … Returning to Algorithm 1, we introduce the merging action which occurs just after a new conflict was found by the validation process (C in line 10) for a given CT node. At this point MA-…

参考文章(16)
Nathan Sturtevant, Ariel Felner, Roni Stern, Guni Sharon, Conflict-based search for optimal multi-agent path finding national conference on artificial intelligence. pp. 563- 569 ,(2012)
Ryan Luna, Kostas E. Bekris, Push and swap: fast cooperative path-finding with completeness guarantees international joint conference on artificial intelligence. pp. 294- 300 ,(2011) , 10.5591/978-1-57735-516-8/IJCAI11-059
Nathan R. Sturtevant, M. Renee Jansen, Direction maps for cooperative pathfinding national conference on artificial intelligence. pp. 185- 190 ,(2008)
Trevor Standley, Finding optimal solutions to cooperative pathfinding problems national conference on artificial intelligence. pp. 173- 178 ,(2010)
Nathan R. Sturtevant, Robert C. Holte, Mokhtar M. Khorshid, A Polynomial-Time Algorithm for Non-Optimal Multi-Agent Pathfinding annual symposium on combinatorial search. ,(2011)
Malcolm Ryan, Constraint-based multi-robot path planning international conference on robotics and automation. pp. 922- 928 ,(2010) , 10.1109/ROBOT.2010.5509582
Jussi Rintanen, Planning with SAT, admissible heuristics and A* international joint conference on artificial intelligence. pp. 2015- 2020 ,(2011) , 10.5591/978-1-57735-516-8/IJCAI11-336
N. R. Sturtevant, Benchmarks for Grid-Based Pathfinding IEEE Transactions on Computational Intelligence and AI in Games. ,vol. 4, pp. 144- 148 ,(2012) , 10.1109/TCIAIG.2012.2197681
M. R.K. Ryan, Exploiting subgraph structure in multi-robot path planning Journal of Artificial Intelligence Research. ,vol. 31, pp. 497- 542 ,(2008) , 10.1613/JAIR.2408
K. Dresner, P. Stone, A multiagent approach to autonomous intersection management Journal of Artificial Intelligence Research. ,vol. 31, pp. 591- 656 ,(2008) , 10.1613/JAIR.2502