University of Alberta
Reinforcement Learning Specialization
University of Alberta

Reinforcement Learning Specialization

Master the Concepts of Reinforcement Learning. Implement a complete RL solution and understand how to apply AI tools to solve real-world problems.

Taught in English

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Adam White
Martha White

Instructors: Adam White

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.8

(3,153 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll 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 

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.8

(3,153 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 4 course series

Fundamentals of Reinforcement Learning

Course 115 hours4.8 (2,702 ratings)

What you'll learn

  • Formalize problems as Markov Decision Processes

  • Understand basic exploration methods and the exploration / exploitation tradeoff

  • Understand value functions, as a general-purpose tool for optimal decision-making

  • Know how to implement dynamic programming as an efficient solution approach to an industrial control problem

Skills you'll gain

Category: Function Approximation
Category: Artificial Intelligence (AI)
Category: Reinforcement Learning
Category: Machine Learning
Category: Intelligent Systems

Sample-based Learning Methods

Course 221 hours4.8 (1,211 ratings)

What you'll learn

Skills you'll gain

Category: Function Approximation
Category: Artificial Intelligence (AI)
Category: Reinforcement Learning
Category: Machine Learning
Category: Intelligent Systems

Prediction and Control with Function Approximation

Course 321 hours4.8 (803 ratings)

What you'll learn

Skills you'll gain

Category: Function Approximation
Category: Artificial Intelligence (AI)
Category: Reinforcement Learning
Category: Machine Learning
Category: Intelligent Systems

A Complete Reinforcement Learning System (Capstone)

Course 415 hours4.7 (617 ratings)

What you'll learn

Skills you'll gain

Category: Function Approximation
Category: Artificial Intelligence (AI)
Category: Reinforcement Learning
Category: Machine Learning
Category: Intelligent Systems

Instructors

Adam White
University of Alberta
4 Courses90,722 learners

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