Deep Reinforcement Learning (8 hours)

Teacher: Norman Di Palo

This course aims at teaching the current state of the art approaches in deep reinforcement learning, a field in great development during the last years. Students will learn the most used techniques, such as Deep Q Network, Actor-Critic techniques, and genetic algorithms. The theory will be discussed along with practical examples and coding examples in Python