Reinforcement Learning

Completed by Jeroen Boeye

October 22, 2020

Approximately 18 weeks to complete.

Course Certificates Completed

Fundamentals of Reinforcement Learning

Sample-based Learning Methods

Prediction and Control with Function Approximation

A Complete Reinforcement Learning System (Capstone)

View certificate for Jeroen Boeye, Reinforcement Learning, offered through Coursera. The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).

In this specialization, learners were taught to:

Build a Reinforcement Learning system for sequential decision making; understand the space of Reinforcement Learning algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and more); understand how to formalize a task as a Reinforcement Learning problem, and how to begin implementing a solution; understand how RL fits under the broader umbrella of machine learning.

This learner is now prepared to take more advanced courses in AI or apply AI tools to real world problems.

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

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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

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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

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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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