Meta-learning within Projective Simulation

Meta-learning within Projective Simulation

25 February 2016

Hans J. Briegel

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Papers citing "Meta-learning within Projective Simulation"

16 / 16 papers shown

Title
Optimal foraging strategies can be learned Gorka Muñoz-Gil Andrea López-Incera Lukas J. Fiderer Hans J. Briegel 40 6 0 10 Mar 2023
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework Konstantinos Demertzis Konstantinos G. Tsiknas Dimitrios Takezis C. Skianis L. Iliadis 18 42 0 16 Feb 2021
Collective defense of honeybee colonies: experimental results and theoretical modeling Andrea López-Incera Morgane Nouvian K. Ried Thomas Müller Hans J. Briegel 40 19 0 14 Oct 2020
Development of swarm behavior in artificial learning agents that adapt to different foraging environments Andrea López-Incera K. Ried Thomas Müller Hans J. Briegel 24 13 0 01 Apr 2020
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
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 J. Wallnöfer A. Melnikov W. Dür Hans J. Briegel 105 87 0 24 Apr 2019
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
Benchmarking projective simulation in navigation problems A. Melnikov A. Makmal Hans J. Briegel 59 19 0 23 Apr 2018
Modelling collective motion based on the principle of agency K. Ried Thomas Müller Hans J. Briegel 61 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 99 347 0 08 Sep 2017
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 111 40 0 05 Sep 2017
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 94 264 0 02 Jun 2017
A Projective Simulation Scheme for Partially-Observable Multi-Agent Systems Rasoul Kheiri 52 0 0 29 Oct 2016
Quantum-enhanced machine learning Vedran Dunjko Jacob M. Taylor Hans J. Briegel 81 375 0 26 Oct 2016
Projective simulation with generalization A. Melnikov A. Makmal Vedran Dunjko Hans J. Briegel 90 42 0 09 Apr 2015