Reducing Idleness in Financial Cloud Services via Multi-objective Evolutionary Reinforcement Learning based Load Balancer

no code implementations • 5 May 2023 • Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li

In recent years, various companies have started to shift their data services from traditional data centers to the cloud.

Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding

no code implementations • 31 Jan 2023 • Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang

The training process is accelerated up to 7x on tested games, comparing to its counterpart without the surrogate and PE.

Atari Games Evolutionary Algorithms +2

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions

no code implementations • 3 Feb 2019 • Yunwen Lei, Ting Hu, Guiying Li, Ke Tang

While the behavior of SGD is well understood in the convex learning setting, the existing theoretical results for SGD applied to nonconvex objective functions are far from mature.

Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection

1 code implementation • 25 Jan 2016 • Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin, Ke Tang

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.

object-detection Real-Time Object Detection +1