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.
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- 4 stars14.70%
- 3 stars2.35%
- 2 stars0.31%
- 1 star0.67%
来自FUNDAMENTALS OF REINFORCEMENT LEARNING的热门评论
Very well designed, it is clear that a lot of thought was put into the course. Also, I really liked the clarity regarding the learning objectives and the emphasis on understanding.
This course was super helpful. I had tried a couple other online introductions to RL, but this was the only one where I could really engage and learn the material effectively. Would recommend!
The concepts are explained in a simple and illustrative manner which helps in getting a better understanding of the concepts. The assignments and quizzes are also really well designed.
This is a relatively gentle introduction for the mathematically sophisticated, but does well to set the stage for the rest of the specialization and introduce the newcomer to the field.