Lea Trenkwalder,

More Information

• FLD Research Documentation

  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)

  • 
    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

  Other Publications

  Electronic Publication, Scientific

  • 
    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. (Web link)
    
    

  
  
  

  Lectures 2019

  Presentations at Conferences, Symposia, etc.

  Conference Lecture (Invited Lecture)

  • 
    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

  • 
    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)

  • 
    Lecturer(s): Trenkwalder, Lea: Projective simulation applied to non-Markovian problems.
    82. Jahrestagung der DPG und DPG-Frühjahrstagung, Erlangen, 2018-03-05. (Web link)