Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving

Work on cutting-edge AI topics during your thesis and gain hands-on experience in an innovative environment. Ready to make an impact? Apply now and shape the future of automated driving!

• During your thesis, you will review scientific literature on state-of-the-art approaches to behavior planning in automated driving, with a particular focus on Reinforcement Learning (RL).
• You will become familiar with available open-source datasets as well as training and simulation frameworks used in autonomous driving.
• Building on this foundation, you will design novel training methodologies and apply them to train high-performance AI planners for autonomous driving applications.
• By integrating Imitation Learning (IL) and Reinforcement Learning, you will leverage the advantages of both approaches within a combined framework.
• Throughout your work, you will ensure well-structured technical documentation and maintain clean code.