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BOBosch Group

Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)

Renningen
Full-timeOn-site
AI/ML

Developing AI planners for automated driving using Reinforcement Learning. Strong theoretical background in RL and IL required. Focus on open-source datasets and training frameworks.

Requirements

  • Master's in Computer Science, AI, Robotics, Mechatronics, or comparable
  • Familiarity with behavior planning for automated driving
  • Familiarity with AI-based planners
  • Strong theoretical background in Imitation Learning (IL)
  • Strong theoretical background in Reinforcement Learning (RL)
  • Excellent programming skills in Python
  • Knowledge of collaborative coding platforms
  • Knowledge of software development platforms
  • C++ skills (plus)
  • High motivation
  • Openness to collaboration
  • Teamwork skills
  • Excellent communication skills
  • On-site presence required
  • Fluent in English

Tasks

  • Review scientific literature on behavior planning in automated driving
  • Focus on Reinforcement Learning (RL) approaches
  • Explore open-source datasets and training frameworks for autonomous driving
  • Design novel training methodologies for AI planners
  • Apply training methodologies to develop high-performance AI planners
  • Integrate Imitation Learning (IL) and Reinforcement Learning
  • Leverage combined IL and RL framework advantages
  • Maintain well-structured technical documentation
  • Ensure clean code practices

Education

  • Master's degree

Languages

  • EnglishFluent

Tools & Technologies

  • Python
  • GitHub
  • C++
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