On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach

no code implementations • 20 May 2022 • Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao

Mobile devices (MDs) can offload computation-intensive applications, which can be represented by SFCs, fully or partially to MEC servers for remote execution.

Decision Making Edge-computing +2

Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing

no code implementations • 24 Feb 2022 • Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao

This paper adapts the evolutionary multi-objective RL (EMORL), a multi-policy multi-objective RL, to the TCTO problem.

Edge-computing Multi-Objective Reinforcement Learning

RTFN: A Robust Temporal Feature Network for Time Series Classification

no code implementations • 24 Nov 2020 • Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan

Most of the existing feature networks pay more attention to local features rather than the relationships among them.

Classification General Classification +4

STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN

no code implementations • 21 Apr 2020 • Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal

Dynamic routing in software-defined networking (SDN) can be viewed as a centralized decision-making problem.

Decision Making