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

, , , and . ISCC, page 1-6. IEEE, (2022)

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Enhancing Network by Reinforcement Learning and Neural Confined Local Search., , , , and . IJCAI, page 2122-2132. ijcai.org, (2023)A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments., , , and . INFOCOM Workshops, page 1-2. IEEE, (2021)Strong generalization in quantum neural networks., , , , , , , , and . Quantum Inf. Process., 22 (12): 428 (December 2023)Online Decentralized Task Allocation Optimization for Edge Collaborative Networks., , , , , and . ISCC, page 1-6. IEEE, (2022)Context-Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving., , , , and . IEEE Trans. Veh. Technol., 73 (2): 1567-1581 (2024)Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment., , , and . ISCC, page 1-6. IEEE, (2022)End-to-End Urban Autonomous Navigation with Decision Hindsight., , , , , and . ICONIP (15), volume 1969 of Communications in Computer and Information Science, page 67-83. Springer, (2023)Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks., , , , and . WASA (3), volume 12939 of Lecture Notes in Computer Science, page 359-366. Springer, (2021)Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks., , , , , and . Future Gener. Comput. Syst., (April 2023)Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving., , , , , and . IJCNN, page 1-8. IEEE, (2023)