Tensorflow Neural Networks using Deep Q-Learning Techniques

By the end of this project you will learn how to train a reinforcement learning agent to play Atari video games autonomously using Deep Q-Learning with Tensorflow and OpenAI's Gym API. This project will familiarize you with the Gym interface and the process of training a Tensorflow-based neural network using Deep Q-Learning techniques. The methods you will learn in the course of this project will enable you to build reinforcement learning agents for any potential purpose and provide valuable experience in your Machine Learning and Artificial Intelligence development journey.

Python experience is heavily recommended.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.