Reinforcement Learning Specialization

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Course Features

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Duration

5 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

The Reinforcement learning specialization includes 4 courses that explore the power of adaptive learning and artificial intelligence (AI). Adaptive learning systems are required to harness the full potential of artificial Intelligence. Through trial-and-error interaction, learn how Reinforcement Learning solutions (RL) help solve real-world problems. Then implement a complete RL solution. This Specialization will prepare learners to understand the fundamentals of probabilistic AI (AI), and to be able to apply AI tools to real-world problems. This content will be focused on small-scale problems to help students understand Reinforcement Learning as taught by world-renowned scientists at the University of Alberta Faculty of Science. This Specialization will teach you how to use the tools in game development (AI), customer interaction (how websites interact with customers), smart assistants and recommender systems.

Course Overview

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Skills You Will Gain

What You Will Learn

Build a Reinforcement Learning system for sequential decision making

Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and more)

Understand how to formalize your task as a Reinforcement Learning problem, and how to begin implementing a solution

Understand how RL fits under the broader umbrella of machine learning, and how it complements deep learning, supervised and unsupervised learning

Course Instructors

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Martha White

Assistant Professor

Martha White is an Assistant Professor in the Department of Computing Sciences at the University of Alberta, Faculty of Science. Her research focus is on developing algorithms for agents continually ...
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Adam White

Assistant Professor

Adam White is an Assistant Professor in the Department of Computing Sciences at the University of Alberta, Faculty of Science, and a Senior Research Scientist at DeepMind. Adam's research focuses on ...
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