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. 2012.03158
  4. Cited By
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless
  Drone Networks

Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks

6 December 2020
Ye Hu
Mingzhe Chen
Walid Saad
H. Vincent Poor
Shuguang Cui
ArXiv (abs)PDFHTML

Papers citing "Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks"

10 / 10 papers shown
Title
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV
  Networks
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks
Ye Hu
Mingzhe Chen
Walid Saad
H. Vincent Poor
Shuguang Cui
45
27
0
25 May 2020
A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
106
1,193
0
17 Sep 2019
Meta-Gradient Reinforcement Learning
Meta-Gradient Reinforcement Learning
Zhongwen Xu
H. V. Hasselt
David Silver
117
327
0
24 May 2018
Been There, Done That: Meta-Learning with Episodic Recall
Been There, Done That: Meta-Learning with Episodic Recall
Samuel Ritter
Jane X. Wang
Z. Kurth-Nelson
Siddhant M. Jayakumar
Charles Blundell
Razvan Pascanu
M. Botvinick
CLL
61
84
0
24 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
171
1,677
0
30 Mar 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
105
227
0
13 Feb 2018
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for
  Interference Management
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management
Ursula Challita
Walid Saad
C. Bettstetter
84
297
0
16 Jan 2018
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z Leibo
K. Tuyls
T. Graepel
84
1,013
0
16 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
167
2,091
0
24 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
845
11,967
0
09 Mar 2017
1