Artificial Intelligence (AI)Machine LearningReinforcement LearningFunction ApproximationIntelligent Systems
Reinforcement Learning
Completed by Jeroen Boeye
October 22, 2020
Approximately 18 weeks to complete.Jeroen Boeye's account is verified. Coursera certifies their successful completion of University of Alberta & Alberta Machine Intelligence Institute Reinforcement Learning Specialization.
Course Certificates Completed
Fundamentals of Reinforcement Learning
Sample-based Learning Methods
Prediction and Control with Function Approximation
A Complete Reinforcement Learning System (Capstone)
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
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Fundamentals of Reinforcement Learning
University of Alberta & Alberta Machine Intelligence Institute
Taught by: Martha White & Adam White
Completed by: Jeroen Boeye by July 17, 2020
4-6 hours/week
Sample-based Learning Methods
University of Alberta & Alberta Machine Intelligence Institute
Taught by: Martha White & Adam White
Completed by: Jeroen Boeye by September 19, 2020
4-6 hours/week
Prediction and Control with Function Approximation
University of Alberta & Alberta Machine Intelligence Institute
Taught by: Martha White & Adam White
Completed by: Jeroen Boeye by October 16, 2020
4-6 hours/week
A Complete Reinforcement Learning System (Capstone)
University of Alberta & Alberta Machine Intelligence Institute
Taught by: Martha White & Adam White
Completed by: Jeroen Boeye by October 22, 2020
4-6 hours/week
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