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ε-Strong Privacy Preserving Multiagent Planner by Computational Tractability.

, , and . ICAART (1), page 51-57. SciTePress, (2017)

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Benefits of Multi-Destination Travel Planning for Electric Vehicles., , and . ITSC, page 327-332. IEEE, (2018)ε-Strong Privacy Preserving Multi-agent Planning., , and . ICAART (Revised Selected Papers), volume 10839 of Lecture Notes in Computer Science, page 137-156. Springer, (2017)ε-Strong Privacy Preserving Multiagent Planner by Computational Tractability., , and . ICAART (1), page 51-57. SciTePress, (2017)Relaxation Heuristics for Multiagent Planning., and . ICAPS, AAAI, (2014)Potential Heuristics for Multi-Agent Planning., , and . ICAPS, page 308-316. AAAI Press, (2016)The Limits of Strong Privacy Preserving Multi-Agent Planning., , and . ICAPS, page 297-305. AAAI Press, (2017)Privacy Leakage of Search-Based Multi-Agent Planning Algorithms., , and . ICAPS, page 482-490. AAAI Press, (2019)Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents., , , , , , , , , and 2 other author(s). AGS, volume 5920 of Lecture Notes in Computer Science, page 1-15. Springer, (2009)Whole Day Mobility Planning with Electric Vehicles., , und . ICAART (2), Seite 154-164. SciTePress, (2018)The International Competition of Distributed and Multiagent Planners (CoDMAP)., , und . AI Magazine, 37 (3): 109-115 (2016)