Deep Reinforcement Learning: Hands-on AI Tutorial in Python

Brought by: Udemy

Overview

Develop Artificial Intelligence Applications using Reinforcement Learning in Python.

What you'll learn:
  • 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.


Taught by

Mehdi Mohammadi

Deep Reinforcement Learning: Hands-on AI Tutorial in Python
Go to course

Deep Reinforcement Learning: Hands-on AI Tutorial in Python

Brought by: Udemy

  • Udemy
  • Paid
  • English
  • Certificate Available
  • Available at any time
  • intermediate
  • English