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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.
Free
This Course Includes
coursera
4.8 (3.2K reviews )
2 months at 10 hours a week 
english
Online - Self Paced
specialization
University of Alberta
About Reinforcement Learning Specialization
Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from University of Alberta
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 .