Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.
Ce cours fait partie de la Spécialisation Apprentissage par renforcement
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À propos de ce cours
Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.
Ce que vous allez apprendre
Formalize problems as Markov Decision Processes
Understand basic exploration methods and the exploration / exploitation tradeoff
Understand value functions, as a general-purpose tool for optimal decision-making
Know how to implement dynamic programming as an efficient solution approach to an industrial control problem
Compétences que vous acquerrez
- Artificial Intelligence (AI)
- Machine Learning
- Reinforcement Learning
- Function Approximation
- Intelligent Systems
Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.
Programme de cours : ce que vous apprendrez dans ce cours
Welcome to the Course!
An Introduction to Sequential Decision-Making
Markov Decision Processes
Value Functions & Bellman Equations
Dynamic Programming
Avis
- 5 stars81,97 %
- 4 stars14,66 %
- 3 stars2,35 %
- 2 stars0,31 %
- 1 star0,67 %
Meilleurs avis pour FUNDAMENTALS OF REINFORCEMENT LEARNING
This course is great for people who are just starting out. The programming assignments are really great and practically introduce you to the basic concepts of reinforcement learning.
An excellent introduction to the subject of Reinforcement Learning, accompanied by a very clear text book. The python assignments in Jupyter notebooks are both informative and helpful.
This course is the best course for anyone who needs to enter into the field of RL. Content within the course is excellent and instructors have explained each and every topic very well.
Fantastic course! I have been interested in Reinforcement Learning for a long time and this has been the best introduction I have found so far. It gave me the foundations on the field.
À propos du Spécialisation Apprentissage par renforcement

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