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Reducing Idleness in Financial Cloud Services via Multi-objective
  Evolutionary Reinforcement Learning based Load Balancer
v1v2 (latest)

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

5 May 2023
Peng Yang
Laoming Zhang
Haifeng Liu
Guiying Li
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
Title
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
Bingdong Li
Mei Jiang
Hong Qian
K. Tang
W. Hong
Peng Yang
116
0
0
26 May 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
235
2
0
12 Jan 2025
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
Junjie Zhao
Chengxi Zhang
Min Qin
Peng Yang
OOD
108
5
0
08 Sep 2024
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
Dan-Xuan Liu
Yi-Heng Xu
Chao Qian
54
2
0
09 Jun 2024
Evolutionary Reinforcement Learning via Cooperative Coevolution
Evolutionary Reinforcement Learning via Cooperative Coevolution
Chengpeng Hu
Jialin Liu
Xinghu Yao
129
0
0
23 Apr 2024
Model Uncertainty in Evolutionary Optimization and Bayesian
  Optimization: A Comparative Analysis
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
Hao Hao
Xiaoqun Zhang
Aimin Zhou
58
4
0
21 Mar 2024
Evolutionary Reinforcement Learning: A Systematic Review and Future
  Directions
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
Y. Lin
Fan Lin
Guorong Cai
Hong Chen
Lixin Zou
Pengcheng Wu
90
3
0
20 Feb 2024
Pointer Networks Trained Better via Evolutionary Algorithms
Pointer Networks Trained Better via Evolutionary Algorithms
Muyao Zhong
Shengcai Liu
Bingdong Li
Haobo Fu
Ke Tang
Peng Yang
49
0
0
02 Dec 2023
Large Language Models as Evolutionary Optimizers
Large Language Models as Evolutionary Optimizers
Shengcai Liu
Caishun Chen
Xinghua Qu
Jiaheng Zhang
Yew-Soon Ong
98
108
0
29 Oct 2023
Diversity from Human Feedback
Diversity from Human Feedback
Ren-Jian Wang
Ke Xue
Yutong Wang
Peng Yang
Haobo Fu
Qiang Fu
Chao Qian
77
3
0
10 Oct 2023
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation
  Model for Expensive Optimization
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization
Hao Hao
Xiaoqun Zhang
Aimin Zhou
140
19
0
21 Sep 2023
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Chao Bian
Yawen Zhou
Mingxing Li
Chao Qian
57
34
0
05 Jun 2023
Can Evolutionary Clustering Have Theoretical Guarantees?
Can Evolutionary Clustering Have Theoretical Guarantees?
Chao Qian
63
3
0
04 Dec 2022
Effective and Imperceptible Adversarial Textual Attack via
  Multi-objectivization
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Shengcai Liu
Ning Lu
W. Hong
Chao Qian
Ke Tang
AAML
102
15
0
02 Nov 2021
1