Becker-Ehmck, Philip

7 publications

TMLR 2025 Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

NeurIPS 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

ICMLW 2024 Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

NeurIPS 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

ICLRW 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

ICMLW 2021 Exploration via Empowerment Gain: Combining Novelty, Surprise and Learning Progress Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt

ICML 2019 Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck, Jan Peters, Patrick Van Der Smagt