Philip Becker-Ehmck
Philip Becker-Ehmck
PhD Student, Volkswagen and IAS Darmstadt
Verified email at volkswagen.de
Title
Cited by
Cited by
Year
Unsupervised Real-Time Control through Variational Empowerment
M Karl, M Soelch, P Becker-Ehmck, D Benbouzid, P van der Smagt, ...
arXiv preprint arXiv:1710.05101, 2017
392017
Switching Linear Dynamics for Variational Bayes Filtering
P Becker-Ehmck, J Peters, P van der Smagt
36th International Conference on Machine Learning (ICML), 2018
232018
Learning to Fly via Deep Model-Based Reinforcement Learning
P Becker-Ehmck, M Karl, J Peters, P van der Smagt
arXiv preprint arXiv:2003.08876, 2020
82020
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations
N Das, M Karl, P Becker-Ehmck, P van der Smagt
arXiv preprint arXiv:1911.00756, 2019
22019
Exploration via Empowerment Gain: Combining Novelty, Surprise and Learning Progress
P Becker-Ehmck, M Karl, J Peters, P van der Smagt
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
2021
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