MADDPG-based Task Offloading and Resource Management for Edge System
Author:
Affiliation:
1. University of Electronic Science and Technology of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3448734.3450782
Reference12 articles.
1. Cybertwin: An Origin of Next Generation Network Architecture
2. Cybertwin: An Origin of Next Generation Network Architecture
3. T. Yang et al. "Two-Stage Offloading Optimization for Energy–Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things " in IEEE Internet of Things Journal vol. 7 no. 7 pp. 5954-5963 July 2020 doi: 10.1109/JIOT.2019.2958662. T. Yang et al. "Two-Stage Offloading Optimization for Energy–Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things " in IEEE Internet of Things Journal vol. 7 no. 7 pp. 5954-5963 July 2020 doi: 10.1109/JIOT.2019.2958662.
4. X. Chen and G. Liu "Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks " in IEEE Internet of Things Journal doi: 10.1109/JIOT.2021.3050804. X. Chen and G. Liu "Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks " in IEEE Internet of Things Journal doi: 10.1109/JIOT.2021.3050804.
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1. Joint Task and Computing Resource Allocation in Distributed Edge Computing Systems via Multi-Agent Deep Reinforcement Learning;IEEE Transactions on Network Science and Engineering;2024-07
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