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. 2010.10138
  4. Cited By
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for
  Hybrid FSO/RF Non-Terrestrial Networks

Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks

20 October 2020
Ju-Hyung Lee
Jihong Park
M. Bennis
Young-Chai Ko
ArXivPDFHTML

Papers citing "Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks"

4 / 4 papers shown
Title
Leveraging Large Language Models for Integrated
  Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
Shumaila Javaid
R. A. Khalil
Nasir Saeed
Bin He
Mohamed-Slim Alouini
36
9
0
05 Jul 2024
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of
  Recent Learning Algorithms
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
A. H. Arani
Peng Hu
Yeying Zhu
21
4
0
27 Nov 2022
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
34
161
0
06 Aug 2020
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
111
595
0
28 Feb 2017
1