Thesis and Projects
We offer several Master Thesis, Bachelor Thesis as well as projects that can be done as practica (see Lectures). Please see the list below. Please directly contact the supervisor(s) if you are interested in a specific topic.
Titel | Topic | Supervisor | Type | Link |
---|---|---|---|---|
Advanced Entropy Control for Efficient Exploration in Deep Reinforcement Learning | Reinforcement Learning | Fabian Otto, Maximillian Hüttenrauch |
MSc Thesis | |
Improved Trust Regions for Adversarial Imitation Learning | Imitation Learning, Trust-Region Optimization | Philipp Becker, Fabian Otto, Hanna Ziesche |
MSc Thesis | |
Data Augmentation for Neural Processes | Meta-Learning | Michael Volpp |
External Master Thesis with Robert Bosch GmbH | |
Benchmarking Model-Based RL Algorithms | Reinforcement Learning | Jeyhoon Maskani |
MSc Thesis / BSc Thesis / Research Project | |
Model-Based RL using Recurrent Kalman Networks | Reinforcement Learning | Jeyhoon Maskani |
MSc Thesis / Research Project | |
Probabilistic Forget Gates For Changing Dynamics | Time Series Modelling | Vaisakh Shaj |
MSc Thesis / Research Project |
Titel | Topic | Supervisor | Student | Typ | Link |
---|---|---|---|---|---|
Actor-Critic Methods for Robotics | Reinforcement Learning | Philipp Becker, Onur Celik |
Roman Freiberg | Bachelor Thesis | |
Trajectory Segmentation for Robot Manipulation Datasets | Grasping and Manipulation | Ge Li |
Xin Tian | Bachelor Thesis | |
Grasp Adaptation for Robotic Manipulation | Grasping and Manipulation | Gerhard Neumann, Vien Ngo, Hanna Ziesche |
Jun Wang | MSc Thesis, Research Project | |
Efficient Gradient-Based Variational Inference with GMMs | Variational Inference | Oleg Arenz |
Zihan Ye | Master Thesis | |
Recursive Surrogate-Modeling for Stochastic Search | Stochastic Search / Regression | Maximilian Hüttenrauch |
Klaus Philipp Theyssen | Bachelorarbeit | |
Long-Term Prediction for Pushing and Grasping with Deep Reinforcement Learning | Grasping and Manipulation | Gerhard Neumann, Hanna Ziesche, Vien Ngo |
Mohammed Abdalqader | Master Thesis | |
Learning to Assemble using 6D Pose Estimation for Insertion Tasks | Grasping and Manipulation | Gerhard Neumann, Hanna Ziesche, Vien Ngo |
Artur Eckard | Master Thesis | |
Intrinsically Motivated Deep Reinforcement Learning | Deep Reinforcement Learning | Vaisakh Shaj |
Andreas Boltres | Masterarbeit | |
Contextual Policy Search for Robot Table Tennis | Reinforcement Learning | Ge Li |
Dongzhuoran Zhou | Master Thesis | |
Learning to Pick specific Objects in a Heap | Grasping and Manipulation | Gerhard Neumann, Vien Ngo, Hanna Ziesche |
Oussama Zenkri | Master Thesis |
Titel | Topic | Supervisor | Student | Type | Link |
---|---|---|---|---|---|
Deep Reinforcement Learning under Partial Observability using Kalman Filtering | Reinforcement Learning | Philipp Becker |
Carmen Eitel | Master Thesis | |
Deep Reinforcement Learning of Versatile Behavior | Reinforcement Learning | Onur Celik |
Dhimiter Pikuli | Bachelor Thesis | |
Inverse Reinforcement Learning for Highly-Versatile Behavior | Inverse Reinforcement Learning | Philipp Becker |
Niklas Freymuth | Master Thesis |