44 citations · 71 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.DC2023★ 2 cited
Dependent Task Offloading in Edge Computing Using GNN and Deep Reinforcement Learning
Zequn Cao, Xiaoheng Deng
Task offloading is a widely used technology in Mobile Edge Computing (MEC), which declines the completion time of user task with the help of resourceful edge servers. Existing work…
cs.NI2023★ 11 cited
PoPeC: PAoI-Centric Task Offloading with Priority over Unreliable Channels
Nan Qiao, Sheng Yue, Yongmin Zhang +1
Freshness-aware computation offloading has garnered great attention recently in the edge computing arena, with the aim of promptly obtaining up-to-date information and minimizing t…
cs.LG2023★ 6 cited
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue, Guanbo Wang, Wei Shao +4
This work aims to tackle a major challenge in offline Inverse Reinforcement Learning (IRL), namely the reward extrapolation error, where the learned reward function may fail to exp…