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University of Alberta

Reinforcement Learning

University of Alberta via Coursera Specialization


The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end. By the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science. The tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.


Course 1: Fundamentals of Reinforcement Learning
- Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This ... Enroll for free.

Course 2: Sample-based Learning Methods
- In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the ... Enroll for free.

Course 3: Prediction and Control with Function Approximation
- In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that ... Enroll for free.

Course 4: A Complete Reinforcement Learning System (Capstone)
- In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This ... Enroll for free.


Taught by

Adam White and Martha White

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5.0 rating, based on 1 reviews

Start your review of Reinforcement Learning

  • Profile image for Ali Hadi
    Ali Hadi

    Ali Hadi completed this course, spending 2 hours a week on it and found the course difficulty to be medium.

    I think this course is appropriate for data scientists. because it is based on mathematics and statistic rule. you need high knowledge about them.

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