September 2022
Beginner to intermediate
14h 17m
English
Closed Captioning available in English
Overview
In this 14-hour course, you will learn reinforcement learning (RL) and deep reinforcement learning (Deep RL) concepts step by step, starting from basic principles and diving into practical applications with Python. This course not only explains the theory but also includes hands-on projects, ensuring you gain a thorough understanding.
What I will be able to do after this course
- Grasp the fundamentals of reinforcement learning and deep reinforcement learning and their applications.
- Master Q-learning, SARSA, and other RL algorithms through practical examples.
- Learn and use deep learning techniques crucial for deep reinforcement learning, such as neural networks.
- Design and implement projects like Frozen Lake, Cart-Pole, and Trading Bot using Python and associated frameworks.
- Develop advanced skills in applying reinforcement learning to solve real-world scenarios.
Course Instructor(s)
AI Sciences, the instructor of this course, specializes in making complex AI and machine learning topics accessible to everyone. With a rich background in computer science and a commitment to teaching, AI Sciences provides courses full of practical insights and real-world examples.
Who is it for?
This course is perfect for beginners interested in reinforcement learning concepts and coding. If you have basic Python coding skills and a willingness to learn advanced techniques for solving practical problems using AI, this course is designed for you.
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Watch now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.