This is a course I offered together with Wolfgang Hönig at TU Berlin in summer ‘24. Parts of the lecture overlap strongly with other Robot Learning courses (e.g. modern Imitation Learning). We want to give special credits to the following two, from which we adopted some material:

Other parts (e.g. dynamics learning, or old-style imitation learning, learning for planning, multi-robot learning) were added, as we aimed to give a broad picture. The exercises usually start with a reading assignment, and ideally end with a coding assignment (but not all do so).

Resources:

Full Script

Latex Sources and separate images needed to compile the sources.

Materials by week

slides exercises
Introduction & Orga  
Robotics Essentials, ML Essentials exercises
Dynamics Learning exercises
Imitation Learning I exercises
Imitation Learning II exercises
Reinforcement Learning exercises
Offline RL & Sim2Real exercises
Inverse RL exercises
Safe Learning exercises
Manipulation & Grasp Learning exercises
TAMP & Language exercises
Multi-Robot Learning exercises