Completion Certificate for Reinforcement Learning

Completed by Stelios Andrew Stavroulakis

July 5, 2021

Approximately 2 months at 10 hours a week to complete

Stelios Andrew Stavroulakis'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)

Reinforcement Learning

University of Alberta

4.8 (3,247 ratings)

55K Students Enrolled

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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