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Projective simulation with generalization
v1v2 (latest)

Projective simulation with generalization

Scientific Reports (Sci Rep), 2015
9 April 2015
A. Melnikov
A. Makmal
Vedran Dunjko
Hans J. Briegel
ArXiv (abs)PDFHTML

Papers citing "Projective simulation with generalization"

23 / 23 papers shown
Free Energy Projective Simulation (FEPS): Active inference with
  interpretability
Free Energy Projective Simulation (FEPS): Active inference with interpretabilityPLoS ONE (PLoS ONE), 2024
Joséphine Pazem
Marius Krumm
Alexander Q. Vining
Lukas J. Fiderer
Hans J. Briegel
220
0
0
22 Nov 2024
Optimal foraging strategies can be learned
Optimal foraging strategies can be learnedNew Journal of Physics (NJP), 2023
Gorka Muñoz-Gil
Andrea López-Incera
Lukas J. Fiderer
Hans J. Briegel
204
8
0
10 Mar 2023
Towards interpretable quantum machine learning via single-photon quantum
  walks
Towards interpretable quantum machine learning via single-photon quantum walksQuantum Science and Technology (Quantum Sci. Technol.), 2023
Fulvio Flamini
Marius Krumm
Lukas J. Fiderer
Thomas Müller
Hans J. Briegel
350
9
0
31 Jan 2023
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
501
89
0
07 Nov 2022
Quantum reinforcement learning in continuous action space
Quantum reinforcement learning in continuous action spaceQuantum (Quantum), 2020
Shaojun Wu
Shan Jin
Dingding Wen
Donghong Han
Xiaoting Wang
LRM
513
60
0
19 Dec 2020
Development of swarm behavior in artificial learning agents that adapt
  to different foraging environments
Development of swarm behavior in artificial learning agents that adapt to different foraging environmentsPLoS ONE (PLOS ONE), 2020
Andrea López-Incera
K. Ried
Thomas Müller
Hans J. Briegel
127
17
0
01 Apr 2020
Operationally meaningful representations of physical systems in neural
  networks
Operationally meaningful representations of physical systems in neural networks
Hendrik Poulsen Nautrup
Tony Metger
Raban Iten
Sofiene Jerbi
Lea M. Trenkwalder
H. Wilming
Hans J. Briegel
R. Renner
AI4CENAI
188
31
0
02 Jan 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 processesQuantum Machine Intelligence (QMI), 2019
Walter L. Boyajian
Jens Clausen
Lea M. Trenkwalder
Vedran Dunjko
Hans J. Briegel
301
16
0
25 Oct 2019
How a minimal learning agent can infer the existence of unobserved
  variables in a complex environment
How a minimal learning agent can infer the existence of unobserved variables in a complex environmentMinds and Machines (MM), 2019
K. Ried
B. Eva
Thomas Müller
Hans J. Briegel
206
18
0
15 Oct 2019
Photonic architecture for reinforcement learning
Photonic architecture for reinforcement learningPhotonics North (PN), 2019
Fulvio Flamini
A. Hamann
Sofiene Jerbi
Lea M. Trenkwalder
Hendrik Poulsen Nautrup
Hans J. Briegel
366
32
0
17 Jul 2019
Machine learning for long-distance quantum communication
Machine learning for long-distance quantum communication
J. Wallnöfer
A. Melnikov
W. Dür
Hans J. Briegel
383
103
0
24 Apr 2019
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup
Nicolas Delfosse
Vedran Dunjko
Hans J. Briegel
N. Friis
421
187
0
20 Dec 2018
Quantum classification of the MNIST dataset with Slow Feature Analysis
Quantum classification of the MNIST dataset with Slow Feature Analysis
Iordanis Kerenidis
J. F. Doriguello
336
34
0
22 May 2018
Benchmarking projective simulation in navigation problems
Benchmarking projective simulation in navigation problemsIEEE Access (IEEE Access), 2018
A. Melnikov
A. Makmal
Hans J. Briegel
201
22
0
23 Apr 2018
Measurement-based adaptation protocol with quantum reinforcement
  learning
Measurement-based adaptation protocol with quantum reinforcement learning
Francisco Albarrán-Arriagada
J. C. Retamal
Enrique Solano
L. Lamata
215
34
0
14 Mar 2018
Modelling collective motion based on the principle of agency
Modelling collective motion based on the principle of agency
K. Ried
Thomas Müller
Hans J. Briegel
184
29
0
04 Dec 2017
Machine learning \& artificial intelligence in the quantum domain
Machine learning \& artificial intelligence in the quantum domain
Vedran Dunjko
Hans J. Briegel
379
358
0
08 Sep 2017
Speeding-up the decision making of a learning agent using an ion trap
  quantum processor
Speeding-up the decision making of a learning agent using an ion trap quantum processor
T. Sriarunothai
S. Wölk
G. Giri
N. Friis
Vedran Dunjko
Hans J. Briegel
C. Wunderlich
228
42
0
05 Sep 2017
Skill Learning by Autonomous Robotic Playing using Active Learning and
  Creativity
Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity
Simon Hangl
Vedran Dunjko
Hans J. Briegel
J. Piater
173
19
0
26 Jun 2017
Active learning machine learns to create new quantum experiments
Active learning machine learns to create new quantum experimentsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2017
A. Melnikov
Hendrik Poulsen Nautrup
Mario Krenn
Vedran Dunjko
M. Tiersch
A. Zeilinger
Hans J. Briegel
342
283
0
02 Jun 2017
A Projective Simulation Scheme for Partially-Observable Multi-Agent
  Systems
A Projective Simulation Scheme for Partially-Observable Multi-Agent Systems
Rasoul Kheiri
351
1
0
29 Oct 2016
Meta-learning within Projective Simulation
Meta-learning within Projective Simulation
A. Makmal
A. Melnikov
Vedran Dunjko
Hans J. Briegel
186
29
0
25 Feb 2016
Quantum machine learning with glow for episodic tasks and decision games
Quantum machine learning with glow for episodic tasks and decision games
Jens Clausen
Hans J. Briegel
210
14
0
27 Jan 2016
1
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