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Adaptive and Low-cost Traffic Engineering based on Traffic Matrix Classification., , , , and . ICCCN, page 1-9. IEEE, (2020)A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints., , , , , , and . IEEE Trans. Veh. Technol., 72 (5): 6753-6764 (May 2023)CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints., , , , , and . ECML/PKDD (1), volume 12975 of Lecture Notes in Computer Science, page 157-173. Springer, (2021)Background subtraction and dust storm detection., , and . IGARSS, page 2179-2181. IEEE, (2012)DRL-OR: Deep Reinforcement Learning-based Online Routing for Multi-type Service Requirements., , , and . INFOCOM, page 1-10. IEEE, (2021)Neurotrie: Deep Reinforcement Learning-based Fast Software IPv6 Lookup., , , , and . ICDCS, page 917-927. IEEE, (2022)6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features., , , , , , , and . CoRR, (2022)Distributed and Adaptive Traffic Engineering with Deep Reinforcement Learning., , , , , , and . IWQoS, page 1-10. IEEE, (2021)Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders., , , and . ACL (1), page 2193-2203. Association for Computational Linguistics, (2018)