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 stars81.86%
- 4 stars14.77%
- 3 stars2.38%
- 2 stars0.32%
- 1 star0.64%
來自FUNDAMENTALS OF REINFORCEMENT LEARNING的熱門評論
A great introduction to RL. Credit goes to the instructors Mr and Mrs white for keep in it as simple as possible. Understanding the math behind RL is the key for the RL adventure.
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.
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.
One of the best courses I finished on Coursera, I really like the structure of the course. Textbook is also provided which really helps. Looking forward to next course in the series.