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Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann
  Machines

Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines

22 September 2021
Tobias Müller
Christoph Roch
Kyrill Schmid
Philipp Altmann
    AI4CE
ArXivPDFHTML

Papers citing "Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines"

3 / 3 papers shown
Title
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
Michael Kolle
Felix Topp
Thomy Phan
Philipp Altmann
Jonas Nusslein
Claudia Linnhoff-Popien
AI4CE
54
5
0
03 Jan 2025
On the challenges of using D-Wave computers to sample Boltzmann Random
  Variables
On the challenges of using D-Wave computers to sample Boltzmann Random Variables
Thomas Pochart
Paulin Jacquot
Joseph Mikael
6
9
0
30 Nov 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
148
1,628
0
02 Feb 2020
1