Masterthesis "Method Development for Reinforcement Learning Race Driver Models in Advanced Motorsport Simulation"

What to expect?

Your Mission :

At Porsche Motorsport, we continuously strive to improve the accuracy, robustness, and efficiency of so-called Digital Twins : digital representations of the system car-racetrack-driver. Within this thesis, you will focus on advancing our race driver model, which is based on reinforcement learning. The goal is to further develop the method and toolchain, targeting improved imitation quality, enhanced generalization, efficiency and performance. In this scope, there will be plenty of scientific challenges to overcome and there will be also opportunities to contribute to scientific publications.

Content of the Thesis :

• Development and implementation of methods to accelerate training of reinforcement learning driver models
• Investigation and application of domain randomization to improve robustness across varying conditions
• Tuning of hyperparameters and training schemes for enhanced model performance
• Evaluation of improvements within the context of lap simulation and setup sensitivity analysis
• Benchmarking against the current state of the art in simulation workflows

What sets you apart?

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About Porsche

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This quote from Ferdinand Porsche sums up what Porsche is as a brand, as a company, as a car manufacturer and as an employer. The “Porsche idea” has produced unique sports cars, such as the Porsche and the . With the combination of tradition, innovation and our employees` Porsche typical – sometimes unconventional – ways of thinking, we make automobile dreams come true and always have that “little bit more” in our sights. But Porsche is more than “just” an exclusive sports car producer. Because Porsche has a lot to offer as an employer as well : numerous entry and career opportunities, measures for combining work and family, and flexible working hours.

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