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Path Generation with LSTM Recurrent Neural Networks in the Context of the Multi-Agent Patrolling.

, , and . ICTAI, page 430-437. IEEE, (2018)

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Optimization of traffic dynamic route guidance with drivers' reactions in a queue-based model., , and . IEEE Trans. Syst. Man Cybern., 25 (7): 1161-1165 (1995)Path Generation with LSTM Recurrent Neural Networks in the Context of the Multi-Agent Patrolling., , and . ICTAI, page 430-437. IEEE, (2018)Decentralized Multi-agent Patrolling Strategies Using Global Idleness Estimation., , and . PRIMA, volume 11224 of Lecture Notes in Computer Science, page 603-611. Springer, (2018)Structured Possibilistic Planning Using Decision Diagrams., , , and . AAAI, page 2257-2263. AAAI Press, (2014)LSTM Path-Maker: a new LSTM-based strategy for the multi-agent patrolling., , and . HICSS, page 1-10. ScholarSpace, (2019)Idleness Estimation for Distributed Multiagent Patrolling Strategies., , and . AAMAS, page 2538-2540. ACM, (2023)Genetic Algorithms for Automatic Regrouping of Air Traffic Control Sectors., , , and . Evolutionary Programming, page 657-672. A Bradford Book, MIT Press. Cambridge, Massachusetts., (1995)Blending of missile control modes with neural networks., , and . NNSP, page 141-150. IEEE, (2003)Qualitative Possibilistic Mixed-Observable MDPs., , , and . UAI, AUAI Press, (2013)Multi-agent patrolling in dynamic environments., , , and . ICA, page 72-77. IEEE, (2017)