[MA with Bosch R&D] Reinforcement Learning for Behavior Planning in Automated Driving

Institut

Professur für autonome Fahrzeugsysteme (TUM-ED)

Typ

Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

Description

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.

Qualifications

• Education: Master studies in the field of Computer Science, Artificial Intelligence, Robotics, Mechatronics or comparable with very good grades
• Experience and Knowledge:
  • familiarity with behavior planning for automated driving, and in particular, with AI-based planners
  • strong theoretical background in Imitation Learning (IL) and Reinforcement Learning (RL)
  • excellent programming skills in Python
  • knowledge of collaborative coding and software development platforms, such as GitHub
  • C++ skills considered a plus
• Personality and Working Practice: you are highly motivated, open to collaboration and teamwork, and equipped with excellent communication skills
• Work Routine: your on-site presence is required
• Languages: fluent in English

Additional Information

• Start: according to prior agreement
• Duration: 6 months
• Place: Robert-Bosch-Campus 1, 71272 Renningen, Germany

 If you are interested, please send a short motivation letter, CV, and transcript of records to: yuan_avs.gao@tum.de

Tags

AVS Gao

Möglicher Beginn

sofort

Kontakt

Yuan Gao
yuan_avs.gaotum.de