This was such a great lecture for reinforcement learning beginners. I'll master it by repeating it several times, then immediately take the advanced course as well! It's an even better lecture when taken together with the book.

I wish there were more examples

The content itself is good, but the explanation is not detailed and is stiff, like a robot speaking.

I think it would be a good idea to update the settings.

The data is old, so it's difficult to practice.

Thank you so much for the very helpful lecture!

I had a hard time organizing my thoughts on deep learning, but now I have a clear understanding of what deep learning means, which is great. Also, I was able to practice by making my own examples that I could practice in Unity, which greatly improved my understanding. Thank you for the great lecture~!

The content of the book is good, but the lecture is no different from an audiobook. It's hard to tell if he's explaining or reading it straight from the book.

There is no new content, and the lecture is just a book that is read out loud. From the learner's perspective, it is good to repeat the code that has already been explained, even if briefly, but it is difficult to listen to the lecture because the code that has been explained once is omitted.

I read [Learn Reinforcement Learning with PyTorch and Unity ML-Agents] and didn't understand it, so I took the 50,000 won lecture because I needed additional explanation. But since you read the book without any additional explanation, I can't help but feel a bit disappointed.