11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.DC2025
TD3-Sched: Learning to Orchestrate Container-based Cloud-Edge Resources via Distributed Reinforcement Learning
Shengye Song, Minxian Xu, Kan Hu +2
Resource scheduling in cloud-edge systems is challenging as edge nodes run latency-sensitive workloads under tight resource constraints, while existing centralized schedulers can s…
cs.AI2018★ 11 cited
A New Approach for Resource Scheduling with Deep Reinforcement Learning
Yufei Ye, Xiaoqin Ren, Jin Wang +4
With the rapid development of deep learning, deep reinforcement learning (DRL) began to appear in the field of resource scheduling in recent years. Based on the previous research o…
cs.CC2018
An Efficient Method to Transform SAT problems to Binary Integer Linear Programming Problem
Wenxia Guo, Jin Wang, Majun He +3
In computational complexity theory, a decision problem is NP-complete when it is both in NP and NP-hard. Although a solution to a NP-complete can be verified quickly, there is no k…