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Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a
  Swarm of Buoys

Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys

21 December 2020
M. Kouzehgar
Malika Meghjani
Roland Bouffanais
ArXivPDFHTML

Papers citing "Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys"

3 / 3 papers shown
Title
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient
  Multi-Agent Reinforcement Learning
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
21
0
0
12 Apr 2023
Effect of Swarm Density on Collective Tracking Performance
Effect of Swarm Density on Collective Tracking Performance
H. L. Kwa
J. Philippot
Roland Bouffanais
22
9
0
25 Jan 2023
Adapting the Exploration-Exploitation Balance in Heterogeneous Swarms:
  Tracking Evasive Targets
Adapting the Exploration-Exploitation Balance in Heterogeneous Swarms: Tracking Evasive Targets
H. L. Kwa
Victor Babineau
J. Philippot
Roland Bouffanais
14
5
0
27 Jul 2022
1