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University of Alberta vía Coursera
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Reinforcement Learning

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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.