About this 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.
| From | University of Alberta, Alberta Machine Intelligence Institute via Coursera |
|---|---|
| Hours | 110 |
| Instructors | Martha White, Adam White |
| Language | English |
| Subjects | Programming Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Learning & Development Facilitator $50k
Learning Trainer $53k
Freelance Learning Specialist $56k
Learning Professional $63k
Learning Generalist $64k
Learning Experience Designer $67k
Audio Engineer & Live Sound Reinforcement $68k
Individualized Learning Specialist $79k
Enterprise Learning Consultant $98k
Global Learning Specialist $106k
Consulting Learning Specialist $108k
Learning and Development Consultant 3 $112k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
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Jun |
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 course introduces you to statistical... Coursera | University of Alberta, Alberta Machine Intelligence Institute |
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Jul |
In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s... Coursera | University of Alberta, Alberta Machine Intelligence Institute |
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Jul |
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 estimating value functions can be cast... Coursera | University of Alberta, Alberta Machine Intelligence Institute |
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Jun |
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 capstone will let you see how each... Coursera | University of Alberta, Alberta Machine Intelligence Institute |
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| From | University of Alberta, Alberta Machine Intelligence Institute via Coursera |
|---|---|
| Hours | 110 |
| Instructors | Martha White, Adam White |
| Language | English |
| Subjects | Programming Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Learning & Development Facilitator $50k
Learning Trainer $53k
Freelance Learning Specialist $56k
Learning Professional $63k
Learning Generalist $64k
Learning Experience Designer $67k
Audio Engineer & Live Sound Reinforcement $68k
Individualized Learning Specialist $79k
Enterprise Learning Consultant $98k
Global Learning Specialist $106k
Consulting Learning Specialist $108k
Learning and Development Consultant 3 $112k
Similar Courses
Sorted by relevance
