Kai R. Fricke
Kai R. Fricke
Department of Personality Psychology and Psychological Assessment, Helmut-Schmidt-University Hamburg
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Cited by
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Tensorforce: A tensorflow library for applied reinforcement learning
M Schaarschmidt, A Kuhnle, K Fricke
Web page, 2017
Personality and self-reported preference for music genres and attributes in a German-speaking sample
KR Fricke, PY Herzberg
Journal of Research in Personality 68, 114-123, 2017
LIFT: Reinforcement learning in computer systems by learning from demonstrations
M Schaarschmidt, A Kuhnle, B Ellis, K Fricke, F Gessert, E Yoneki
arXiv preprint arXiv:1808.07903, 2018
Computer-based music feature analysis mirrors human perception and can be used to measure individual music preference
KR Fricke, DM Greenberg, PJ Rentfrow, PY Herzberg
Journal of Research in Personality 75, 94-102, 2018
The self-congruity effect of music.
DM Greenberg, SC Matz, HA Schwartz, KR Fricke
Journal of Personality and Social Psychology 121 (1), 137, 2021
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
M Schaarschmidt, S Mika, K Fricke, E Yoneki
Proceedings of the 2nd Conference on Systems and Machine Learning (SysML), 2019
Measuring musical preferences from listening behavior: Data from one million people and 200,000 songs
KR Fricke, DM Greenberg, PJ Rentfrow, PY Herzberg
Psychology of Music 49 (3), 371-381, 2021
Tensorforce: a TensorFlow library for applied reinforcement learning. 2017
A Kuhnle, M Schaarschmidt, K Fricke
Available online: tensorforce. readthedocs. io (accessed on 21 December 2021), 2019
Validation of the Flemish version of the Quality of Life in Short Stature Youth (QoLISSY) questionnaire
AC Rohenkohl, J De Schepper, J Vanderfaeillie, K Fricke, S Hendrickx, ...
Acta Clinica Belgica 69 (3), 177-182, 2014
Normierung der deutschen Fassung der Highly Sensitive Person Scale (HSPS-G)–Selbstbeurteilungsskala an einer deutschsprachigen Stichprobe
PY Herzberg, KR Fricke, S Konrad
PPmP-Psychotherapie· Psychosomatik· Medizinische Psychologie 72 (03/04), 108-116, 2022
World-models for bitrate streaming
H Brown, K Fricke, E Yoneki
Applied Sciences 10 (19), 6685, 2020
Wield: Systematic reinforcement learning with progressive randomization
M Schaarschmidt, K Fricke, E Yoneki
arXiv preprint arXiv:1909.06844, 2019
Decreasing Stress Through a Spatial Audio and Immersive 3D Environment: A Pilot Study With Implications for Clinical and Medical Settings
DM Greenberg, E Bodner, A Shrira, KR Fricke
Music & Science 4, 2059204321993992, 2021
Know your big data: De-biasing subsamples of large datasets for personality research using importance sampling and kNN matching
K Fricke, P Herzberg
PsyArXiv, 2019
Norms of the German Version of the Highly Sensitive Person Scale (HSPS-G)-Self-Assessment Scale on a German-Speaking Sample
PY Herzberg, KR Fricke, S Konrad
Psychotherapie, Psychosomatik, Medizinische Psychologie 72 (3-04), 108-116, 2021
Measuring Individual Music Feature Preference from Self-report, Audio-based Assessment, and Actual Listening Behavior
K Fricke
Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Fakultät für …, 2018
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