Philipp Becker
I am currently pursuing a PhD in Machine Learning at the Karlsruhe Institute of Technology (KIT), supervised by Prof. Gerhard Neumann. Simultaneously, I am involved with the FZI Research Center for Information Technology, working towards establishing a new research group under Prof. Neumann's direction. Before my time at KIT, I worked with the Bosch Center for Artificial Intelligence and the University of Tübingen for eight months. Furthermore, I have a Bachelor's degree in Computer Science and a Master's degree in Autonomous Systems (Computer Science) from the Technical University Darmstadt. I aim to complete my PhD by Spring 2025 and am currently seeking internship opportunities.
Reserach
My research focuses on world models for Reinforcement Learning with multimodal and high-dimensional observations. Here, I combine probabilistic state space models with deep learning to learn dynamics models and concise representations as published in:
- Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL (RLC 2024)
- On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning (TMLR 2022)
- Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces (ICML 2019)
Beyond this, I worked on projects covering a wide range of topics such as
- Imitation Learning for Versatile Behavior
- Dynamics Modeling for Robotics
- Model-Free RL with a Focus on Trust Region Methods
- Bayesian Deep Learning
Here is a list of all my publications.
Updates
New Paper at Reinforcement Learning Conference
Published:
I am happy to announce that my paper Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL got accepted at the new Reinforcment Learning Conference (RLC).