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%
來自FUNDAMENTALS OF REINFORCEMENT LEARNING的熱門評論
The book is essential reading. It took me longer than the estimates to do the reading and the programming assignments. I would have liked more gridworld examples to get a faster hang of it.
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.
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.
I understood all the necessary concepts of RL. I've been working on RL for some time now, but thanks to this course, now I have more basic knowledge about RL and can't wait to watch other courses