  This textbook covers principles behind main modern deep reinforcement
learning algorithms that achieved breakthrough results in many domains from
game AI to robotics. All required theory is explained with proofs using unified
notation and emphasize on the differences between different types of algorithms
and the reasons why they are constructed the way they are.
