52 citations · 62 across the 4 of their papers we have counts for
4 papers
Reducing Idleness in Financial Cloud Services via Multi-objective Evolutionary Reinforcement Learning based Load Balancer
Peng Yang, Laoming Zhang, Haifeng Liu +1
In recent years, various companies have started to shift their data services from traditional data centers to the cloud. One of the major motivations is to save on operational cost…
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding
Lan Tang, Xiaxi Li, Jinyuan Zhang +3
Evolutionary Reinforcement Learning (ERL) that applying Evolutionary Algorithms (EAs) to optimize the weight parameters of Deep Neural Network (DNN) based policies has been widely…
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
Yunwen Lei, Ting Hu, Guiying Li +1
Stochastic gradient descent (SGD) is a popular and efficient method with wide applications in training deep neural nets and other nonconvex models. While the behavior of SGD is wel…
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li, Junlong Liu, Chunhui Jiang +3
R-CNN style methods are sorts of the state-of-the-art object detection methods, which consist of region proposal generation and deep CNN classification. However, the proposal gener…