Bosch Research and Technology Center North America is looking to advance innovations in reinforcement learning and simulation for planning in autonomous driving.
Requirements
- GPU-accelerated Simulation for Reinforcement Learning
- Integration and Development of ML-based Planning Models
- Imitation + Reinforcement Learning with Self-Play
Responsibilities
- Build and optimize high-performance, scalable simulation environments tailored for reinforcement learning in autonomous driving scenarios.
- Develop, train, and integrate planning models for autonomous driving using GPU-accelerated simulations to validate and enhance performance in complex scenarios.
- Develop and improve hybrid learning approaches that combine imitation learning and reinforcement learning, with a focus on multi-agent reinforcement learning.
Other
- The ideal candidate will passionately drive and further advance innovations in the field of reinforcement learning and simulation for planning in autonomous driving.
- The work includes conducting advanced research and development of novel algorithms and conducting experiments to bring innovation ideas to products.
- As an intern, you will work closely with a team of researchers and engineers on one of the following areas:
