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.
- 5 stars81.89%
- 4 stars14.75%
- 3 stars2.38%
- 2 stars0.32%
- 1 star0.64%
FUNDAMENTALS OF REINFORCEMENT LEARNING からの人気レビュー
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.
Clear instruction and insightful exercises! Enjoy this course! Also, please read the book if you want to understand better about the course materials and rationales behind the exercises.
An excellent introduction to Reinforcement Learning, accompanied by a well-organized & informative handbook. I definitely recommend this course to have a strong foundation in Reinforcement Learning.