please add kolmogorov arnold networks on series

Amazing

Impressive! Thank you very much for sharing and for the inspiration.

What he said and clarified at 10:56 made me understand what I could not understand from so many formal texts. Thanks a lot.

Great!

Meh, his lecture ambiance is not my cup of tea… it seems this one is of a series with foundational concepts introduced earlier, for engineering students maybe

This is so amazing I don't have words. Deepmind made computers play go game, chess game. It uses reinforcement learning. It is simply superb.

Great video!

you guys are so brilliant. such a great idea, would love to hear a podcast with you guys talking about how you came up with these ideas/ the life cycle of SINDY rl.

Great presentation, very interesting approach. I’m curious about the intuition behind the ensemble…eager to read more. Thanks!

Thanks for the presentation. Do I understand correctly that this whole process could be automated making highly efficient agents or do some aspects of this process require manual work? Also, how well does it scale to significantly harder RL problems? Does this technique stay computationally efficient (e.g. compared to PPO) in these harder ernvironments? Could this be combined with Reinforcement learning from human feedback (RLHF) in a practical manner?

Gracias por el video!

awesome videos, thanks a lot for sharing!

i did not quite get what he said at 14:00. Can someone explain?

thank you steve for share your knowledge, you are talent teacher

ahhh! Just found that you are the author of SINDY!

@Eigensteve, Thanks for such a nice and interesting videos. I've seen all your videos on reinforcement learning. It would be really helpful if you could do a lecture on how dynamic games (either discrete or continuous time) can be solved using reinforcement learning with a walkthrough example. For now, the theoretical concepts on reinforcement learning are clear from your videos, but how it's actually implemented to solve problems is still unclear. Also if you can recommend some resource that would be bonus!

1/x~ cos(2pi) ;solution: sinc f(x)

Is there a difference in the goals of SINDy vs Symbolic Regression? I understand they work differently, but do they do the same thing, or am I missing something?

😎🤖

excellent but maybe do a simple example to each

I really appreciate what you are offering sir, ❤

God🎉❤

great lecture, however the chain rule I would write differently: d f(g)/ d x = df/dg * dg/dx

Flight dynamics and control system engineer from india

by cross referencing kzbin.info/www/bejne/q5LPnqyQnrWmb9k, one can clearly see the slope derived in the end is nothing but "covariance (a, b)/variance(a)"

neat.

Thou has done unto me that which is good.

I love that guy!

Usually, U_t = U(t), du/dt is usually denoted by u'_t, where d^2u/dx^2 is usually denoted by u"_x (with dpuble quotes),

can i have code of matlab pls

awesome video you kilt this!

Ok is the video tuned with ML to my research?? I’m literally working on discovering new physics for plasmas in spherical tokamaks! Spooky…

not only is this man capable of explaining complex analysis, but he can also write backwards 🤯🤯🤯. What a guy

interested to know how you make the video setup for making this kind of videos

44,100 mister.

I can't tell how grateful I am. Thank you so much

Don't say uhh ahh okay?

Thank you Professor! Any time frame for the Digital Twin module?

I always get fascinated by how Steve manages to write all this backwards😂

chemical reactions can easily be sources for conservation of species...

this video still good and actual, thank You!

Are you left handed ✋️ 😂

Thanks for the good course. Just not sure why suddenly C1 assumption came out of nowhere.

thanks a lot, completed the whole complex analysis 10 hours before my finals, You're a brilliant teacher!!!

I am doing my computer engineering degree and your playlist not only help me understand vectorial derivative, but also make want to make my own vectorial field processing program on my server. Keep going ❤❤

This man is what we need more in math teaching: Someone who thake the time to build the knowledge from the base just to be shure that everyone understand.❤❤❤❤