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Solving the Snake in the Box Problem with Heuristic Search: First Results.

, , , , , and . SOCS, page 96-104. AAAI Press, (2015)

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Boolean Satisfiability Approach to Optimal Multi-agent Path Finding under the Sum of Costs Objective: (Extended Abstract)., , , and . AAMAS, page 1435-1436. ACM, (2016)The Israeli AI Community.. AI Mag., 37 (3): 118-122 (2016)Compressing Pattern Databases with Learning., , , and . ECAI, volume 178 of Frontiers in Artificial Intelligence and Applications, page 495-499. IOS Press, (2008)The Increasing Cost Tree Search for Optimal Multi-Agent Pathfinding., , , and . IJCAI, page 662-667. IJCAI/AAAI, (2011)Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search., , , , and . IJCAI, page 442-449. ijcai.org, (2019)f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search., , , , , and . AAAI, page 12241-12248. AAAI Press, (2021)Heuristic Search Comes of Age., , , and . AAAI, page 2186-2191. AAAI Press, (2012)A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates., , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 2607-2614. IOS Press, (2023)Monte-Carlo Tree Search using Batch Value of Perfect Information., , and . UAI, AUAI Press, (2017)PHA*: performing A* in unknown physical environments., , and . AAMAS, page 240-247. ACM, (2002)