ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.02337
  4. Cited By
Multi-Agent Deep Reinforcement Learning for Cooperative Connected
  Vehicles

Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles

Global Communications Conference (GLOBECOM), 2019
8 January 2020
Dohyun Kwon
Joongheon Kim
ArXiv (abs)PDFHTML

Papers citing "Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles"

4 / 4 papers shown
Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance
Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance
Rathin Chandra Shit
Sharmila Subudhi
33
0
0
05 Nov 2025
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear
  Mobility Control in Cyber-Physical Loitering Munition Systems
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems
Hyun-Yong Lee
Soohyun Park
Won Joon Yun
Soyi Jung
Joongheon Kim
155
5
0
31 Dec 2022
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural
  Architectures for Real-Time Strategy Games
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy GamesIEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Won Joon Yun
Sungwon Yi
Joongheon Kim
153
11
0
21 May 2021
Reinforced Edge Selection using Deep Learning for Robust Surveillance in
  Unmanned Aerial Vehicles
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial VehiclesInformation and Communication Technology Convergence (ICTC), 2020
Soohyun Park
Jeman Park
David A. Mohaisen
Joongheon Kim
88
1
0
21 Sep 2020
1