ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.10485
  4. Cited By
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement
  Learning Approach

Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach

22 December 2019
Navid Naderializadeh
M. Hashemi
ArXivPDFHTML

Papers citing "Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach"

2 / 2 papers shown
Title
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
37
237
0
06 Nov 2020
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed
  Energy Marketplace in Smart Grids
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
Arman Ghasemi
Amin Shojaeighadikolaei
Kailani R. Jones
M. Hashemi
Alexandru G. Bardas
R. Ahmadi
27
21
0
23 Sep 2020
1