Get Udemy Coupon 100% OFF For Deep Reinforcement Learning: A Hands-on Tutorial in Python

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.

Who this course is for: Machine learning and AI enthusiasts and practitioners, data scientists, machine learning engineers.

WHAT WILL YOU LEARN IN THIS COURSE:

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.

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