Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

23 December 2023

Papers citing "Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach"

5 / 5 papers shown

Title
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation Liang Zhao Shenglin Geng Xiongyan Tang Ammar Hawbani Yunhe Sun Lexi Xu Daniele Tarchi 28 0 0 12 Nov 2024
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 34 9 0 05 Jul 2024
Continual Deep Reinforcement Learning for Decentralized Satellite Routing Federico Lozano-Cuadra B. Soret Israel Leyva Mayorga P. Popovski 28 2 0 20 May 2024
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 93 49 0 06 Oct 2021
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks Ju-Hyung Lee Jihong Park M. Bennis Young-Chai Ko 25 46 0 20 Oct 2020