Philip Becker-Ehmck

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Variational Bayes

Top Venues

Publications

Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models. CoRR (2024)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. NeurIPS (2023)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. CoRR (2023)
Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
Learning to Fly via Deep Model-Based Reinforcement Learning. CoRR (2020)
Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. CoRR (2019)
Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
Switching Linear Dynamics for Variational Bayes Filtering. ICML (2019)
Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
Switching Linear Dynamics for Variational Bayes Filtering. CoRR (2019)
Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer
Unsupervised Real-Time Control Through Variational Empowerment. ISRR (2019)