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Transparent Machine Education of Neural Networks for Swarm Shepherding
  Using Curriculum Design

Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design

4 January 2019
A. Gee
H. Abbass
ArXiv (abs)PDFHTML

Papers citing "Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design"

4 / 4 papers shown
Disturbances in Influence of a Shepherding Agent is More Impactful than
  Sensorial Noise During Swarm Guidance
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm GuidanceIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020
H. Nguyen
Matthew A. Garratt
L. Bui
H. Abbass
124
3
0
28 Aug 2020
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding
  Behaviors using Deep Reinforcement Learning
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning
Jixuan Zhi
Jyh-Ming Lien
106
33
0
19 May 2020
Machine Education: Designing semantically ordered and ontologically
  guided modular neural networks
Machine Education: Designing semantically ordered and ontologically guided modular neural networksIEEE Symposium Series on Computational Intelligence (SSCI), 2019
H. Abbass
S. Elsawah
E. Petraki
R. Hunjet
98
8
0
07 Feb 2020
A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics
  Guidance Approach
A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance ApproachIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2019
N. Long
Anne-Gwenn Bosser
D. Sgarioto
Matthew A. Garratt
H. Abbass
187
88
0
17 Dec 2019
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