Hangl, Simon; Ugur, Emre; Szedmak, Sandor; Piater, Justus Robotic playing for hierarchical complex skill learning Inproceedings In: Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., pp. 2799-2804, 2016. @inproceedings{simon2016,
title = {Robotic playing for hierarchical complex skill learning},
author = {Simon Hangl and Emre Ugur and Sandor Szedmak and Justus Piater},
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Dunjko, Vedran; Taylor, Jacob M; Briegel, Hans J Quantum-enhanced machine learning Journal Article In: Phys. Rev. Lett., vol. 117, pp. 130501, 2016. @article{dunjko2016quantum,
title = {Quantum-enhanced machine learning},
author = {Vedran Dunjko and Jacob M Taylor and Hans J Briegel},
doi = {10.1103/PhysRevLett.117.130501},
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Briegel, Hans J; Müller, Thomas A chance for attributable agency Journal Article In: Minds Mach., vol. 25, no. 3, pp. 261–279, 2015. @article{briegel2015chance,
title = {A chance for attributable agency},
author = {Hans J Briegel and Thomas Müller},
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Mautner, Julian; Makmal, Adi; Manzano, Daniel; Tiersch, Markus; Briegel, Hans J Projective simulation for classical learning agents: a comprehensive investigation Journal Article In: New Gener. Comput., vol. 33, no. 1, pp. 69-114, 2015. @article{mautner2013projective,
title = {Projective simulation for classical learning agents: a comprehensive investigation},
author = {Julian Mautner and Adi Makmal and Daniel Manzano and Markus Tiersch and Hans J Briegel},
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Tiersch, Markus; Ganahl, Emanuel J; Briegel, Hans J Adaptive quantum computation in changing environments using projective simulation Journal Article In: Sci. Rep., vol. 5, pp. 12874, 2015. @article{tiersch2015adaptive,
title = {Adaptive quantum computation in changing environments using projective simulation},
author = {Markus Tiersch and Emanuel J Ganahl and Hans J Briegel},
doi = {10.1038/srep12874},
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Dunjko, Vedran; Friis, Nicolai; Briegel, Hans J Quantum-enhanced deliberation of learning agents using trapped ions Journal Article In: New J. Phys., vol. 17, no. 2, pp. 023006, 2015. @article{dunjko2015quantum,
title = {Quantum-enhanced deliberation of learning agents using trapped ions},
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Friis, Nicolai; Melnikov, Alexey A; Kirchmair, Gerhard; Briegel, Hans J Coherent controlization using superconducting qubits Journal Article In: Sci. Rep., vol. 5, pp. 18036, 2015. @article{friis2015coherent,
title = {Coherent controlization using superconducting qubits},
author = {Nicolai Friis and Alexey A Melnikov and Gerhard Kirchmair and Hans J Briegel},
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Melnikov, Alexey A; Makmal, Adi; Briegel, Hans J Projective simulation applied to the grid-world and the mountain-car problem Journal Article In: arXiv:1405.5459, 2014. @article{melnikov2014projective,
title = {Projective simulation applied to the grid-world and the mountain-car problem},
author = {Alexey A Melnikov and Adi Makmal and Hans J Briegel},
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Paparo, Giuseppe Davide; Dunjko, Vedran; Makmal, Adi; Martin-Delgado, Miguel Angel; Briegel, Hans J Quantum speed-up for active learning agents Journal Article In: Phys. Rev. X, vol. 4, pp. 031002, 2014. @article{paparo2014quantum,
title = {Quantum speed-up for active learning agents},
author = {Giuseppe Davide Paparo and Vedran Dunjko and Adi Makmal and Miguel Angel Martin-Delgado and Hans J Briegel},
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Briegel, Hans J; las Cuevas, Gemma De Projective simulation for artificial intelligence Journal Article In: Sci. Rep., vol. 2, pp. 400, 2012. @article{briegel2012projective,
title = {Projective simulation for artificial intelligence},
author = {Hans J Briegel and Gemma {De las Cuevas}},
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