Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving
Core
Investigate combining Imitation Learning and Reinforcement Learning to generate precise trajectories for autonomous driving functions.
Role type
Master's thesis researcher (AI/ML)
Builds
Multi-step models and innovative algorithmic solutions for autonomous driving
Domain
Autonomous driving, Artificial Intelligence
Deliverable
research
Required skills
Python, PyTorch, Artificial Intelligence, Autonomous Driving, Imitation Learning, Reinforcement Learning
Preferred skills
initial practical experience in AI/ML, initial scientific publications
Technologies
Python, PyTorch
Responsibilities
Conduct in-depth literature research, selectively implement existing approaches, extend established methods, generate multi-step models using RL, combine RL with IL for trajectory generation, document research findings for scientific publication
Seniority
Master's student (PreMaster or near Bachelor completion)