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Projective simulation with generalization
v1v2 (latest)

Projective simulation with generalization

9 April 2015
A. Melnikov
A. Makmal
Vedran Dunjko
Hans J. Briegel
ArXiv (abs)PDFHTML

Papers citing "Projective simulation with generalization"

22 / 22 papers shown
Title
Optimal foraging strategies can be learned
Optimal foraging strategies can be learned
Gorka Muñoz-Gil
Andrea López-Incera
Lukas J. Fiderer
Hans J. Briegel
38
6
0
10 Mar 2023
Towards interpretable quantum machine learning via single-photon quantum
  walks
Towards interpretable quantum machine learning via single-photon quantum walks
Fulvio Flamini
Marius Krumm
Lukas J. Fiderer
Thomas Müller
Hans J. Briegel
71
7
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
108
62
0
07 Nov 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
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 environments
Andrea López-Incera
K. Ried
Thomas Müller
Hans J. Briegel
22
13
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
82
28
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 processes
Walter L. Boyajian
Jens Clausen
Lea M. Trenkwalder
Vedran Dunjko
Hans J. Briegel
81
14
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 environment
K. Ried
B. Eva
Thomas Müller
Hans J. Briegel
70
15
0
15 Oct 2019
Photonic architecture for reinforcement learning
Photonic architecture for reinforcement learning
Fulvio Flamini
A. Hamann
Sofiene Jerbi
Lea M. Trenkwalder
Hendrik Poulsen Nautrup
Hans J. Briegel
85
29
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
105
87
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
86
161
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
Alessandro Luongo
74
33
0
22 May 2018
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
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
69
31
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
59
26
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
96
347
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
102
40
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
59
18
0
26 Jun 2017
Active learning machine learns to create new quantum experiments
Active learning machine learns to create new quantum experiments
A. Melnikov
Hendrik Poulsen Nautrup
Mario Krenn
Vedran Dunjko
M. Tiersch
A. Zeilinger
Hans J. Briegel
88
264
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
52
0
0
29 Oct 2016
Meta-learning within Projective Simulation
Meta-learning within Projective Simulation
A. Makmal
A. Melnikov
Vedran Dunjko
Hans J. Briegel
78
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
58
13
0
27 Jan 2016
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