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Review 1
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Average rating 5.0
Reinforcement learning is difficult to learn by Googling because the content is scattered, and it is difficult to understand when looking at a book, but this is a good lecture that helps you understand these two problems well. It seems great that a large amount of content is explained in a short period of time. Since the content is in-depth overall, I think that after understanding it simply through the explanation, I should learn it in depth through other references. So I was going to write that I was disappointed, but I think it is a really good lecture because it introduces good references in the final lecture and shows a way to study on your own even after the lecture is over.
Hello dlcksdn65. Thank you for your good review. Since reinforcement learning is basically a difficult subject, we put a lot of effort into organizing the lecture easily. There are various theories other than the contents mentioned in this lecture, but I think we explained enough content for programmers to start reinforcement learning. When applying reinforcement learning to practice, we recommend using a package such as stable baseline rather than coding the algorithm directly. You will be able to dramatically increase productivity and accuracy. Thank you.
