  Optimal and Learning Control for Autonomous Robots has been taught in the
Robotics, Systems and Controls Masters at ETH Zurich with the aim to teach
optimal control and reinforcement learning for closed loop control problems
from a unified point of view. The starting point is the formulation of of an
optimal control problem and deriving the different types of solutions and
algorithms from there. These lecture notes aim at supporting this unified view
with a unified notation wherever possible, and a bit of a translation help to
compare the terminology and notation in the different fields. The course
assumes basic knowledge of Control Theory, Linear Algebra and Stochastic
Calculus.
