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Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal
  Difference and Successor Representation

Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation

Italian National Conference on Sensors (INS), 2021
30 December 2021
Mohammad Salimibeni
Arash Mohammadi
Parvin Malekzadeh
Konstantinos N. Plataniotis
ArXiv (abs)PDFHTML

Papers citing "Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation"

2 / 2 papers shown
Title
Emergence in Multi-Agent Systems: A Safety Perspective
Emergence in Multi-Agent Systems: A Safety PerspectiveLeveraging Applications of Formal Methods (ISoLA), 2024
Philipp Altmann
Julian Schonberger
Steffen Illium
Maximilian Zorn
Fabian Ritz
Tom Haider
Simon Burton
Thomas Gabor
194
2
0
08 Aug 2024
Hybrid Indoor Localization via Reinforcement Learning-based Information
  Fusion
Hybrid Indoor Localization via Reinforcement Learning-based Information Fusion
Mohammad Salimibeni
Arash Mohammadi
221
6
0
27 Oct 2022
1