Deep Reinforcement Learning: Hands-on AI Tutorial in Python

• 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.

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.