haha at 19:50, William Lin the CP legend is answering the question :D Its so weird, I am not even from the US neither I study there but I recognize a student from his voice at MIT in an MIT online lecture :D

Great lecture. To be precise, at 24:37, you propose the 'target' as a function of the best action a' in some state s', but you don't explicitly define where this s' comes from. I may be mistaken, but I believe that this s' essentially represents the state s in the next step (t+1), as demonstrated in kzread.info/dash/bejne/qXiK1seaqbq9prg.html (at 14:45). I hope this information is useful to someone.

Excellent slides and explanations!

Very good work. Seen many lectures on the topic but this is by far the best one and very intuitive. Thank you for sharing.

Thank you so much! I loved the lecture, and I'm learning so much! Im only 16 now, but I hope I can one day get into MIT or another great university that teaches this well!

@bohanwang-nt7qz

4 ай бұрын

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Amazing lecture delivery. No words to thank you for sharing this wonderful resource for free. Thanks, MIT as well.

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Great as always, thanks for being consistent

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Thank you very much. 😊

Great video! 🙏

This is so great! but unfortunately due to my limited English, I didn't understand some parts. Hopefully in the future there will be subtitles in Indonesian or other languages, thank you very much!

@master7738

5 ай бұрын

you can use subtitles if you want

Wow, Thank very much you )) 🥰🥰😊

Thank you so much

great thanks for the course!❤

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Thanks for explaining complex Deep Learning and Reinforcement principles in a simplistic manner 🙌👍

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

~wow my favorite area about AI =] cant wait to finish the lecture

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

It is so clear. Thank you very much!

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Thanks!

Great!

Great video!

Great lecture from a great instructor.

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Thank you so much :)

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Dude, this guy did such a good job!!!!

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Thank You, Ostad Amini, But how can I find some code examples for policy learning like ppo?

Thanks for sharing!

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Can you teach AI to play City Skylines.

I recommend Barto Sutton „Reinforcement Learning“, 1st Edition, way,way better than the newer 2nd Edition.

Great lecture

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

@ 50:00 Very impressive work, VISTA!

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Glad to see ML can figure out what I did as an 8 year old with a stack of quarters :D

Once again a great lecture. I have a challenge, and I wonder if you can help me. I'm currently implementing a NN to determine customer satisfaction through a set of inputs that translate behavioural patterns (think # of complaints with our customer service, rate of usage of our services, etc.), and I'd like to know how much each input i'm using contributes to the overall satisfaction score. I imagine this would involve performing the gradient of the output node (a single one in this case), to each input. Is there any lecture where you go into the details of this, both the math and tensorflow code? Thanks in advance!

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

Your videos on this channel are much appreciated they help me so much since I am teaching everything to my self. I am currently teaching myself DQN and I am stuck on this one question. The only thing I don't understand is how does the Q network not converge to the incorrect target since the target network is being updated much slower. I understand that the target network is being updated slower to be more stable but wouldn't the Q network just converge to the incorrect target because the network that is providing the estimate for future values (target network) is being updated slower so it will be in accurate for longer ? Your help would be much appreciated! Thx again for the awesome videos !

@Jerryfan271

7 ай бұрын

for a longer series of lectures, you could try David Silver's. That one has some more information about policy value iteration, if that is what you are talking about. (in Q learning, there is only one network. not sure what you mean by the target network here).

@smftrsddvjiou6443

5 ай бұрын

By chosing with nonzero probability a non optimal actions. To explore different non optimal strategies, which might be not optimal yet but not yet explored, like a new variant line in a chess game. It is called exploitation- exploration dilemma or problem. So far as I know, the target network is not updated (besides of the discount term, which has a Q value)

Thanks for the thorough vid! I'm a bit lost @ 39:31 on where the "-0.8" velocity come from. The closest I'm trying to interpret is given the mean=-1 and var=0.5 the prob of norm dist at mean would be about 0.8... and since your going the negative direction to action a, then it becomes -0.8 ?? But this interpretation seems wrong since the mean should indicate the direction and velocity of action a, while the prob is for computing the loss. So.... what am I missing here? Thanks!

@gnikhil335

Жыл бұрын

when you say " the prob of normal distribution at mean would be around 0.8" where did you get 0.8 from ? (the maximum value of this distribution is 0.564 at mean ) and secondly I think he is using 0.8 m/s as an example ( its a random value which you might get after mapping it back to a speed variable in your game )

@jiunyen5586

Жыл бұрын

@@gnikhil335 Good call! I misused that variance for std. My mistake. And I also really should've said likelihood there. But yeah, really I was just trying to figure out why he said the mean is centered at -0.8 but also shows a mean of -1 for the predicted params of pdf. As in are they just separate random examples or are we using a pdf with mean=-1, var=0.5 to determine the prob when speed is -0.8, which also doesn't seem likely since I thought we would use the velocity with the max likelihood (i.e. mean).

RL is so good for optimizing the trading strategies

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

54:38

7:00

Hi Alex, Could you please suggest any best platform(online coding) that works properly for Reinforcement Learning, In our local systems, are getting errors(system dependencies). Even google colab is showing error when using gym library Thanks Your KZread Follower

@xpcalc446

Жыл бұрын

Have you try to solve those errors by installing the the correct version of the packages?

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

14:25

👏👏

You say state-action-pear but show an apple, I AM CONFUSION! AMERICA EXPRAIN! :) Loved the lecture, really well done.

Oh my God, he is so Handsome. And your spoken, lecture delivery, and fluency in RL in as awesome as your looks are....🤩 focusing on the speaker more than the slides. May Allah Almighty bless you man

@bohanwang-nt7qz

4 ай бұрын

Hey, I'd like to introduce you to my AI learning tool, Coursnap, designed for youtube courses! It provides course outlines and shorts, allowing you to grasp the essence of 1-hour in just 5 minutes. Give it a try and supercharge your learning efficiency!

An apple with a byte❤ ✒️ fellow August 13th🤳🏿

Lecture 7 ?

@AAmini

Жыл бұрын

Lecture 7 is having some technical difficulties so it will be published tomorrow same time (10am ET) -- sorry for the delay!

@SantoshKumar-hx2ig

Жыл бұрын

@@AAmini I am very happy for reply within few minutes. Today I feel the power of mit .

@AAmini

Жыл бұрын

Thank you for your understanding :)

Now, he knows that Q values can be converted into Probability?

once again, audio is super quiet. Had to turn the volume to 100. Fire the audio guy lol

SEALCLATCONTITOIN - YALL NEED TO INCORPORATE HARD-CODED TRAJETORIES LIKE POLITICAL VIEWS IN DEEP LEARNING .. THE SYSTEM DYNAMICS CHANGE BASED ON POLITICAL MODALITIES

33:13

16:03