L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)
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Publicado 2021-08-24
Topic: MDPs, Exact Solution Methods, Max-ent RL
Instructor: Pieter Abbeel
Slides: www.dropbox.com/s/f9xyrdkpqugtrvq/l1-mdps-exact-me…
Todos los comentarios (21)
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This guy is seriously the god of reinforcement learning. He and Andrew Ng have single handedly transformed ML. Kudos to you Pieter.
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I don't believe what I've stumbled upon. This is amazing!
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Thank you for everything you've done for the field over the years, Dr. Abbeel.
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Thank you Pieter for briniging the latest lecture series on Deep RL. I was looking just for that.
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This was the best video lecture intro to deep RL that I have ever watched. Thanks a lot for sharing Prof. Abbeel! Please post more :)
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Nice explanation about RL, Pieter! Will be watching your updates closer now
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This is one of the best content I've seen in a long time, congratulations and thank you so much!
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Thanks so much for sharing! Awesome!
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Thank you for the great lecture. It was super helpful even after taking a RL course.
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Hi Pieter, thank you very much for this great lecture! I found a mistake on P54 of the slide attached. For the policy evaluation expression, the item in the last bracket should be " s' " instead of "s".
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Much thanks, no other words.
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This lecture is my first and best RL lecture. ❤❤
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great lecture, so much thanks!!!!
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Awesome!
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Thanks for sharing 👍
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Thank you!
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omg thank you so much!!!!
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Hi proffessor , the walking robot you just made and showed if I wanna make a similar type of robot what I have to learn ? I quite interested in deep reinforcement learning
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Especially liked the 'intuition' part! What would be the best way to get more in-depth on some of the "prerequisites" for RL?
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I believe there's a mistake at 51:01 . The last term in the last two equations should be the value function of s' instead of s.