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. 2109.06831
  4. Cited By
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With
  Sensing, Communication, and Localization Constraints

Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints

14 September 2021
M. Mishra
Prithvi Poddar
Rajat Agrawal
Jingxi Chen
Pratap Tokekar
P. B. Sujit
ArXivPDFHTML

Papers citing "Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints"

4 / 4 papers shown
Title
The Emergence of Adversarial Communication in Multi-Agent Reinforcement
  Learning
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
35
59
0
06 Aug 2020
Mobile Robot Path Planning in Dynamic Environments through Globally
  Guided Reinforcement Learning
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Binyu Wang
Zhe Liu
Qingbiao Li
Amanda Prorok
43
225
0
11 May 2020
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under
  Partial Observability
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
87
497
0
17 Mar 2017
Persistent Monitoring of Events with Stochastic Arrivals at Multiple
  Stations
Persistent Monitoring of Events with Stochastic Arrivals at Multiple Stations
Jingjin Yu
S. Karaman
Daniela Rus
39
69
0
24 Sep 2013
1