Multi-Robot Guided Policy Search for Learning Decentralized Swarm Control

Article Properties
Journal Category
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Autonomic mobile sensor network with self-coordinated task allocation and execution 2006
Counterfactual multi-agent policy gradients 2018
Multi-agent actor-critic for mixed cooperative-competitive environments 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation 2017
Learning hand-eye coordination for robotic grasping with large-scale data collection 2016
Citations
Title Journal Journal Categories Citations Publication Date
End-to-end decentralized formation control using a graph neural network-based learning method

 Frontiers in Robotics and AI
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
 2023
Citations Analysis
Category Category Repetition
Technology: Mechanical engineering and machinery1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
The category Technology: Mechanical engineering and machinery 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled End-to-end decentralized formation control using a graph neural network-based learning method and was published in 2023. The most recent citation comes from a 2023 study titled End-to-end decentralized formation control using a graph neural network-based learning method. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Frontiers in Robotics and AI cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year