Lea Trenkwalder,
PhD Student
Room:
4S13 ITP
Phone: +43 512 507
52225
Email:
Lea.Trenkwalder[at]uibk.ac.at
Research group: Quantum Information and Computation
More Information
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Publications 2021
Contributions to Books / Journals
Journal Article (Original Paper)
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Jerbi, S.; Trenkwalder, Lea; Poulsen Nautrup, H.; Briegel, Hans J.; Dunjko, Vedran (2021): Quantum Enhancements for Deep Reinforcement Learning in Large Spaces.
In: PRX Quantum 2/1, No. 010328. (DOI) (Web link)
Publications 2020
Contributions to Books / Journals
Journal Article (Original Paper)
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Flamini, Fulvio; Hamann, Arne; Jerbi, S.; Trenkwalder, Lea; Poulsen Nautrup, H.; Briegel, Hans J. (2020): Photonic architecture for reinforcement learning.
In: New Journal of Physics 22, No. 045002. (DOI) (Web link)
Other Publications
Electronic Publication, Scientific
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Poulsen Nautrup, H.; Metger, T.; Iten, R.; Jerbi, S.; Trenkwalder, L.; Wilming, H.; Briegel, Hans J.; Renner, R. (2020): Operationally meaningful representations of physical systems in neural networks. (Web link)
Lectures 2020
Presentations at Conferences, Symposia, etc.
Conference Lecture (Invited Lecture)
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Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L.; Poulsen Nautrup, H.; Briegel, Hans J.: Photonic architecture for reinforcement learning.
22nd Photonics North Conference, Québec, 2020-05-26. (Web link)
Publications 2019
Contributions to Books / Journals
Journal Article (Original Paper)
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Clausen, J.; Boyajian, Walter L.; Trenkwalder, L.; Dunjko, V.; Briegel, Hans j. (2019): On the convergence of projective-simulation-based reinforcement learning in Markov decision processes.
In: Quantum Machine Intelligence 2, No. 13. (DOI) (Web link)
Lectures 2019
Presentations at Conferences, Symposia, etc.
Conference Lecture (Invited Lecture)
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Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L.; Poulsen Nautrup, H.; Briegel, Hans J.: Photonic architecture for reinforcement learning.
1. DPG Herbsttagung 2019 on Quantum Science and Information Technologies, Freiburg, 2019-09-23. (Web link) -
Lecturer(s): Jerbi, S. Co-author(s): Poulsen Nautrup, Hendrik; Trenkwalder, Lea; Briegel, Hans J.; Vedran, Dunjko: A framework for deep energy-based reinforcement learning with quantum speed-up.
1. DPG Herbsttagung 2019 on Quantum Science and Information Technologies, Freiburg, 2019-09-23. (Web link)
Poster Presentation
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Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L. M.; Poulsen Nautrup, H; Briegel, Hans J.: Photonic architecture for reinforcement learning.
Austrian Quantum Information Conference 2019, Wien, 2019-10-31. (Web link) -
Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L.; Poulsen Nautrup, H.; Briegel, Hans J.: Photonic architecture for reinforcement learning.
Vienna Graduate Conference on Complex Quantum Systems, Wien, 2019-10-28. (Web link) -
Lecturer(s): Jerbi, S. Co-author(s): Poulsen Nautrup, H.; Trenkwalder, L.; Briegel, Hans J.; Dunjko, V.: A framework for deep energy-based reinforcement learning with quantum speed-up.
Quantum Techniques in Machine Learning (QTML2019), Daejeon, 2019-10-22. (Web link) -
Lecturer(s): Jerbi, S. Co-author(s): Poulsen Nautrup, H.; Trenkwalder, L.M.; Briegel, Hans J.; Dunjko, V.: A framework for deep energy-based reinforcement learning with quantum speed-up.
Austrian Quantum Information Conference 2019, Wien, 2019-10-31. (Web link) -
Lecturer(s): Trenkwalder, L. Co-author(s): Clausen, J.; Boyajian, W.; Dunjko, V.; Briegel, Hans J.: Convergence proof for an agent-based reinforcement learning approach in Markov decision processes.
1. DPG Herbsttagung 2019 on Quantum Science and Information Technologies, Freiburg, 2019-09-25. (Web link)
Lectures 2018
Presentations at Conferences, Symposia, etc.
Conference Lecture (Upon Registration)
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Lecturer(s): Trenkwalder, Lea: Projective simulation applied to non-Markovian problems.
82. Jahrestagung der DPG und DPG-Frühjahrstagung, Erlangen, 2018-03-05. (Web link)
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