Introduction to Reinforcement Learning
Our "Introduction to Reinforcement Learning" course offers you the opportunity to immerse yourself in the fascinating world of reinforcement learning, a key element of artificial intelligence. This course is designed to give beginners a solid understanding of the basic principles and techniques of reinforcement learning.


What will you learn?
Introduction to Reinforcement Learning (RL): A comprehensive overview of the basics of reinforcement learning, its role in artificial intelligence and its areas of application.
Introduction to RL methods: A detailed introduction to the specific methods and processes of RL to give you a deeper understanding of this learning method.
Markov Decision Processes: An insight into Markov decision processes, a key technique in RL that enables learning and decision making in uncertain situations.
Categories of different algorithms: This includes Value-Based, Policy-Based, Model-Based and Actor-Critic algorithms, each representing different approaches and techniques in reinforcement learning.
Duration of the course: 3 days
Our course is an optimal introduction to reinforcement learning and provides you with a solid basis for further studies and applications in this field.
Price/participant: 1589€ plus VAT.
(Benefit from an exclusive discount if you register for several courses).
You can count on it!

Live tutoring

Blended learning

Individual location & time planning

Materials available for download

Certificate of completion
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