Master Thesis Reinforcement Learning For Behavior Planning In Automated Driving
Robert Bosch GmbH
Renningen, Germany
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Reinforcement learning expertise
Imitation learning knowledge
Python programming skills
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Robert Bosch GmbH is seeking a Master's thesis candidate focused on Reinforcement Learning for behavior planning in automated driving. The position offers hands-on experience in AI technologies within a collaborative environment, emphasizing innovation and teamwork.
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Job Summary
The role involves reviewing scientific literature on state-of-the-art behavior planning approaches with a focus on Reinforcement Learning.
Candidates will design novel training methodologies to train high-performance AI planners by combining Imitation Learning and Reinforcement Learning.
The position offers hands-on experience in an innovative environment shaping the future of automated driving at Bosch.
Matching Summary
Match Score: 75
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Robert Bosch GmbH is seeking a Master's thesis candidate focused on Reinforcement Learning for behavior planning in automated driving. The position offers hands-on experience in AI technologies within a collaborative environment, emphasizing innovation and teamwork.
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Skills & Requirements
Must-have
Reinforcement Learning expertise
Imitation Learning knowledge
Python programming skills
Behavior planning for automated driving
Open-source dataset familiarity
Nice-to-have
C++ programming skills
GitHub collaborative coding experience
Clean code maintenance practices
Excellent communication skills
Highly motivated team player
Key Requirements
Master studies in Computer Science or related field