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Optimal Control and Reinforcement Learning for Robotics (Seminar)

EI71098Examination Performance5 ECTSEnglishWintersemester/SommersemesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn fundamentals and advanced topics of Optimal Control and Reinforcement Learning with a view to applications in robotics. In the end you will know the theoretical foundations, current research directions and you will be able to summarize a specific research question through literature review and present it critically.

What you will be able to do

  • Understand the fundamentals of optimal control
  • Understand the fundamentals of reinforcement learning
  • Overview of the state of research in robotics applications
  • Identify important research directions
  • Summarize and analyze the state-of-the-art in a research direction
  • Lead group discussions and write collaboratively
  • Clearly present results and critical analyses

What the module consists of

  • Introductory lecturesintroduce fundamentals and topics
  • Group discussiondeepen understanding through discussion of research works
  • Paper seminardevelop and present paper analyses

Teaching method

  • Introductory lectures/coursesConveying the fundamentals and placing the topics in context
  • Group discussionDiscussion and critical engagement with literature
  • Paper seminarjoint development and presentation of research results
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Official page in TUMonline · Details are not binding.