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Reinforcement Learning for Engineers, Part 1: What Is Reinforcement Learning?

Artificial intelligence, machine learning, deep neural networks. These are terms that can spark your imagination of a future where robots are thinking and evolving creatures.

In this video, we provide an overview of reinforcement learning from the perspective of an engineer. Reinforcement learning is type of machine learning that has the potential to solve some really hard control problems. By the end of this series, you’ll be better prepared to answer questions like:

What is reinforcement learning and why should I consider it when solving my control problem?
How do I set up and solve the reinforcement learning problem?
What are some of the benefits and drawbacks of reinforcement learning compared to a traditional controls approach?

Check out these other resources!
Reinforcement Learning by Sutton and Barto: http://bit.ly/2HAYbb4
Reinforcement Learning Course by David Silver: https://youtu.be/2pWv7GOvuf0





Part 2: Understanding the Environment and Rewards

Part 3: Policies and Learning Algorithms

Part 4: The Walking Robot Problem

Part 5: Overcoming the Practical Challenges

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