Explore Deep Reinforcement Learning with Python in 2025

Welcome to the exciting world of Deep Reinforcement Learning using Python! Have you ever wondered how intelligent robots are created? This course dives into the fascinating sub-field of machine learning that empowers robots to outperform humans in complex games such as chess and Go. By blending deep learning with reinforcement learning, we equip you with the knowledge needed to develop advanced machine learning models that can make autonomous decisions.

Throughout this course, we will cover the essential aspects of Deep Reinforcement Learning, starting from the fundamentals. In the first section, you will learn the core concepts including Policy, Value Function, Q function, and how neural networks play a critical role. As you progress, we will set up your virtual environment and the required packages, paving the way to start building and training your very own smart robots.

You will also engage in hands-on projects, creating robots that can solve various games – from Grid World and Mountain Car to Flappy Bird and Ms. Pacman! Ultimately, this course empowers you with practical experience in developing Deep Q-Learning algorithms and even extends to building a trading robot, equipping you with tools and insights for real-world applications.

What you will learn:

• Understand deep reinforcement learning and its applications
• Build your own neural network
• Implement 5 different reinforcement learning projects
• Learn a lot of ways to improve your robot

Course Content:

• Sections: 7
• Lectures: 63
• Duration: 9h 8m

Requirements:

• Numpy
• Matplotlib
• Pandas
• Gradient descent
• Object-oriented programming
• General understanding of deep learning

Who is it for?

• Anyone who wants to learn about artificial intelligence and deep learning
• Students & professionals

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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