Kai R. Fricke
Kai R. Fricke
Department of Personality Psychology and Psychological Assessment, Helmut-Schmidt-University Hamburg
Verified email at kaifricke.com - Homepage
Title
Cited by
Cited by
Year
Tensorforce: a tensorflow library for applied reinforcement learning
A Kuhnle, M Schaarschmidt, K Fricke
Web page, 2017
282017
Tensorforce: A tensorflow library for applied reinforcement learning
M Schaarschmidt, A Kuhnle, K Fricke
Web page, 2017
272017
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
262017
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
202018
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
172018
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
11*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
82014
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, 0305735619868280, 2019
42019
The self-congruity effect of music.
DM Greenberg, SC Matz, HA Schwartz, KR Fricke
Journal of Personality and Social Psychology, 2020
32020
World-Models for Bitrate Streaming
H Brown, K Fricke, E Yoneki
Applied Sciences 10 (19), 6685, 2020
2020
Wield: Systematic Reinforcement Learning With Progressive Randomization
M Schaarschmidt, K Fricke, E Yoneki
arXiv preprint arXiv:1909.06844, 2019
2019
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
2019
Journal of Personality and Social Psychology
TPPAI Gender
2018
Article 2: Computer-based music feature analysis mirrors human perception and can be used to measure music preference
K Fricke, DM Greenberg, PJ Rentfrow, PY Herzberg
Hamburg, 2018
2018
Articel 3: Assessing music preference from actual listening behavior
K Fricke, DM Greenberg, PJ Rentfrow, PY Herzberg
Hamburg, 2018
2018
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Articles 1–15