D3QN-LMA: A memory-augmented deep reinforcement learning framework for energy-latency tradeoff optimization in mobile edge computing.
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| Title: | D3QN-LMA: A memory-augmented deep reinforcement learning framework for energy-latency tradeoff optimization in mobile edge computing. |
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| Authors: | Mao, Yufan1, gs.yfmao24@gzu.edu.cn, Tang, Xianghong1, xhtang@gzu.edu.cn, Lu, Jianguang1, jglu@gzu.edu.cn, Li, Haonan1, gs.hnli24@gzu.edu.cn, Wang, Chaobin1, gs.cbwang23@gzu.edu.cn |
| Source: | Advanced Engineering Informatics; May2026, Vol. 72, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 14740346 |
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| DOI: | 10.1016/j.aei.2026.104431 |
