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Speeding-up the decision making of a learning agent using an ion trap
  quantum processor
v1v2v3 (latest)

Speeding-up the decision making of a learning agent using an ion trap quantum processor

5 September 2017
T. Sriarunothai
S. Wölk
G. Giri
N. Friis
Vedran Dunjko
Hans J. Briegel
C. Wunderlich
ArXiv (abs)PDFHTML

Papers citing "Speeding-up the decision making of a learning agent using an ion trap quantum processor"

10 / 10 papers shown
Title
A Survey on Quantum Reinforcement Learning
A Survey on Quantum Reinforcement Learning
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CELRM
108
62
0
07 Nov 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
Hans Hohenfeld
D. Heimann
Felix Wiebe
Frank Kirchner
96
26
0
24 Feb 2022
Quantum reinforcement learning in continuous action space
Quantum reinforcement learning in continuous action space
Shaojun Wu
Shan Jin
Dingding Wen
Donghong Han
Xiaoting Wang
LRM
111
45
0
19 Dec 2020
On the convergence of projective-simulation-based reinforcement learning
  in Markov decision processes
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Walter L. Boyajian
Jens Clausen
Lea M. Trenkwalder
Vedran Dunjko
Hans J. Briegel
81
14
0
25 Oct 2019
Machine learning for long-distance quantum communication
Machine learning for long-distance quantum communication
J. Wallnöfer
A. Melnikov
W. Dür
Hans J. Briegel
105
87
0
24 Apr 2019
Revealing quantum chaos with machine learning
Revealing quantum chaos with machine learning
Y. Kharkov
V. E. Sotskov
A. A. Karazeev
E. Kiktenko
A. Fedorov
AI4CE
73
27
0
25 Feb 2019
Benchmarking projective simulation in navigation problems
Benchmarking projective simulation in navigation problems
A. Melnikov
A. Makmal
Hans J. Briegel
59
19
0
23 Apr 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
133
885
0
23 Mar 2018
Multiqubit and multilevel quantum reinforcement learning with quantum
  technologies
Multiqubit and multilevel quantum reinforcement learning with quantum technologies
F. A. Cárdenas-López
L. Lamata
J. C. Retamal
Enrique Solano
51
31
0
22 Sep 2017
Projective simulation with generalization
Projective simulation with generalization
A. Melnikov
A. Makmal
Vedran Dunjko
Hans J. Briegel
90
42
0
09 Apr 2015
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