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Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent
  Reinforcement Learning

Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning

30 August 2022
Pihe Hu
L. Pan
Yu Chen
Zhixuan Fang
Longbo Huang
ArXivPDFHTML

Papers citing "Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning"

3 / 3 papers shown
Title
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Guangchen Lan
Dong-Jun Han
Abolfazl Hashemi
Vaneet Aggarwal
Christopher G. Brinton
124
15
0
09 Apr 2024
A Deep Recurrent-Reinforcement Learning Method for Intelligent
  AutoScaling of Serverless Functions
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions
Siddharth Agarwal
M. A. Rodriguez
Rajkumar Buyya
25
8
0
11 Aug 2023
Softmax Deep Double Deterministic Policy Gradients
Softmax Deep Double Deterministic Policy Gradients
Ling Pan
Qingpeng Cai
Longbo Huang
72
86
0
19 Oct 2020
1