Master Thesis Bridging the Gap between Reinforcement Learning & E2E Driving

Job description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description: Are you passionate about the future of autonomous driving? We are seeking a talented and motivated individual to join our team of experts dedicated to advancing the capabilities of autonomous vehicles. In this role, you will play a crucial part in using Reinforcement Learning (RL) to enhance the performance of end-to-end (E2E) approaches. The field of autonomous driving has experienced a paradigm shift with the emergence of batched RL simulation, enabling relatively cheap closed-loop training of high-performance policies that can learn from own experience without human expert data. In contrast, E2E driving approaches rely on large amounts of rich expert data but are increasingly using RL-like training strategies to inject the notion of experience and acting based on feedback. This thesis aims to investigate approache...