Deep Reinforcement Learning: Hands-on AI Tutorial in Python

In this course we learn the concepts and fundamentals of reinforcement learning, it's relation to artificial intelligence and machine learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different fundamental algorithms including Q-Learning, SARSA as well as Deep Q-Learning. We present the whole implementation of two projects from scratch with Q-learning and Deep Q-Network.

• The concepts and fundamentals of reinforcement learning
• The main algorithms including Q-Learning, SARSA as well as Deep Q-Learning.
• How to formulate a problem in the context of reinforcement learning and MDP.
• Apply the learned techniques to some hands-on experiments and real world projects.
• Develop artificial intelligence applications using reinforcement learning.

• Students are assumed to be familiar with python and have some basic knowledge of statistics, and deep learning.