Philip Becker-Ehmck

According to our database, Philip Becker-Ehmck authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models.

Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Learning to Fly via Deep Model-Based Reinforcement Learning.

Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt

CoRR, 2020

2019

Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations.

Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt

CoRR, 2019

Unsupervised Real-Time Control Through Variational Empowerment.

Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer

Proceedings of the Robotics Research, 2019

Switching Linear Dynamics for Variational Bayes Filtering.

Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt

Proceedings of the 36th International Conference on Machine Learning, 2019