Deep Reinforcement Learning: A Hands-on Tutorial in Python

Development · Data Science · Reinforcement Learning
Deep Reinforcement Learning: A Hands-on Tutorial in Python

$149.99

4 hours

English (US)

In this course we learn the concepts and fundamentals of reinforcement learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different algorithms including Q-Learning, SARSA as well as Deep Q-Learning. We present the whole implementation of two projects 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.
  • Students are assumed to be familiar with python and have some basic knowledge of statistics, and deep learning.
Mehdi Mohammadi
Mehdi Mohammadi
Machine Learning Engineer

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