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Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment.

, , , и . ISCC, стр. 1-6. IEEE, (2022)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Xianghong Zhang

Miao Zhang

Wei Zhang

 

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Online Scheduling Optimization for DAG-Based Requests Through Reinforcement Learning in Collaboration Edge Networks., , , , и . IEEE Access, (2020)Content-aware Deep Perceptual Image Compression., , , , , , и . WCSP, стр. 1-6. IEEE, (2019)Deep Reinforcement Learning with Noisy Exploration for Autonomous Driving., , , , , и . ICMLSC, стр. 8-14. ACM, (2022)Accurate Boundary Detection and Refinement for Continuous Objects in IoT Sensing Networks., , , , и . IEEE Communications Magazine, 57 (6): 93-99 (2019)Boundary Region Detection for Continuous Objects in Wireless Sensor Networks., , , и . Wirel. Commun. Mob. Comput., (2018)QoE-Constrained Concurrent Request Optimization Through Collaboration of Edge Servers., , , , и . IEEE Internet Things J., 6 (6): 9951-9962 (2019)Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks., , , , и . WASA (3), том 12939 из Lecture Notes in Computer Science, стр. 359-366. Springer, (2021)Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks., , , , , и . Future Gener. Comput. Syst., (апреля 2023)Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus., , , , , и . IEEE Access, (2018)Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment., , , и . ISCC, стр. 1-6. IEEE, (2022)