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Efficient SAT Approach to Multi-Agent Path Finding Under the Sum of Costs Objective.

, , , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 810-818. IOS Press, (2016)

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On Improving Plan Quality via Local Enhancements., , and . SOCS, AAAI Press, (2012)Joint Movement of Pebbles in Solving the (N2-1)-Puzzle and its Applications in Cooperative Path-Finding: (JAAMAS)., and . AAMAS, page 856-857. ACM, (2017)Pushing the Envelope: From Discrete to Continuous Movements in Multi-Agent Path Finding via Lazy Encodings.. CoRR, (2020)Logic-Based Multi-agent Path Finding with Continuous Movements and the Sum of Costs Objective.. RCAI, volume 12412 of Lecture Notes in Computer Science, page 85-99. Springer, (2020)Solving Difficult SAT Instances Using Greedy Clique Decomposition.. SARA, volume 4612 of Lecture Notes in Computer Science, page 359-374. Springer, (2007)Variants of Independence Detection in SAT-Based Optimal Multi-agent Path Finding., , , and . ICAART (Revised Selected Papers), volume 10839 of Lecture Notes in Computer Science, page 116-136. Springer, (2017)Multi-agent Path Finding with Capacity Constraints., , and . AI*IA, volume 11946 of Lecture Notes in Computer Science, page 235-249. Springer, (2019)Encoding of Planning Problems and Their Optimizations in Linear Logic., , and . INAP/WLP, volume 5437 of Lecture Notes in Computer Science, page 54-68. Springer, (2007)Towards Optimal Cooperative Path Planning in Hard Setups through Satisfiability Solving.. PRICAI, volume 7458 of Lecture Notes in Computer Science, page 564-576. Springer, (2012)On the Design of a Heuristic based on Artificial Neural Networks for the Near Optimal Solving of the (N2-1)-puzzle., and . IJCCI, page 473-478. ScitePress, (2019)