Very good lecture, overall. Unfortunately, the flow gets interrupted too often by questions from the audience -- which also eat up time. By the end, lecturer is having to rush through some complex topics (TD learning, policy iteration) that would have required more in-depth explanations.
anyway to access those labs? there's no way we'd fully understand these algorithms, and get insights, and notice the small details, without actually writing our own code or playing with well written code
Very good lecture, overall. Unfortunately, the flow gets interrupted too often by questions from the audience -- which also eat up time. By the end, lecturer is having to rush through some complex topics (TD learning, policy iteration) that would have required more in-depth explanations.
Thanks a lot for sharing this great lecture.
Great lecture! Thanks for putting these up.
On 39:40 there is a great intuition on how epsilon-greedy chooses between exploration and exploitation.
I like his presentation style.
Great lecture! what is the address of Piazza for this bootcamp?
Thank you so much for sharing these lectures... These are really helpful... :)
anyway to access those labs?
there's no way we'd fully understand these algorithms, and get insights, and notice the small details, without actually writing our own code or playing with well written code
Thank you for these lectures!! They are great!
❤good content
Thank you for the Great lecture！
Great lecture, but the last 10 minutes feel very rushed in my humble opinion...
Too many questions!!!!
厉害噢 深圳中学的学霸!