@timonix2

Holy shit. I have been working on this problem for months and to see that professionals are getting almost the exact same answers as me is pretty cool. There are a whole bunch if ideas in here I have not tried yet as well. Super useful

@Frankthegravelrider

Ah dude just discovered your videos!! Just what I needed. Can't believe, have 6 year degree in engineering, work in AI and I can still learn from YouTube.mad when you think out it. It's a new paradigm of education

@michaelc2406

I've just been reading these papers for the openai retro competition. Your video went into a lot of depth, which is really hard to do with complex ideas, bravo!

@AnkitBindal97

Your teaching style is incredible! Can you please do a video on Capsule Networks?

@armorsmith43

This a very effective strategy for personal productivity as a programmer with ADHD.
I augment my unreliable reward-signaling system with Test-Driven Development.

@DeaMikan

Seriously great, I'd love to see an updated video with the newest research!

@aaronkriegman

My idea for a curiosity reward was to use the decrease in the loss of the forward model as a reward, instead of the full loss. This way you don't need the inverse model to guarantee that the reward will eventually go to zero once the action is well understood, because the loss of the forward model will level off once the agent understands the impacts of its actions as best it can, even if there is still a lot of uncertain change in the environment that it can't control. I'm not sure if this has been tried or what the pros and cons are, but I plan to try it!

@minos99

I was really touched by the ending of the video. We need research on models and the social-economic consequences of the AI models...and I don't mean that terminator, Butlerian jihad crap. I mean human side: job losses, bias, morality, misuse...etc

@glorytoarstotzka330

no clickbait , good video quality , good sound, relative nice topics for some people, but 16k subs  Excuse me , wtf

@thomasbao4477

AMAZING!  The prediction-reward algorithm in the first mentioned paper is very similar to how humans learn, at least based on a computational neurobiology course I took in college.

@adrienforbu5165

It's always interesting to see how ideas around curiosity have taken off in reinforcement learning (I think about the "Never give up" paper and atari57

@henning256yt

Love your passion for what you are talking about!

@Jabrils

fantastic content lad!

@pasdavoine

Fantastic video! Making me gain time and in an enjoyable way. 
Many thanks

@dzima-create

Maan it is so damn interesting and good video. I come from a completely different area - game development. And I wanted to understand some basics of A.I because I really want to dive deep into this to eventually teach for example rocket to fly, flappy bird to jump, snake to play efficiently. 
Reading papers is really difficult without knowledge of some basics, and the way you explained all these things is so good. I still don't understand the terminology and all these formulas, but at least I got one step closer :) 
Thank you for this brilliant video :)

@mohammadhatoum

Always impressing and I never get bored watching your videos. Good job and keep it up 👍

@Matthew8473

This is a marvel. I read a book with similar content, and it was a marvel to behold. "The Art of Saying No: Mastering Boundaries for a Fulfilling Life" by Samuel Dawn

@DjChronokun

if it wasn't for this channel I'd have never have known it wasn't pronounced 'ark-ziv'

@satyaprakashdash8203

I would like to see a video on meta reinforcement learning. Its an exciting field now!

@Leibniz_28

Really happy to find your channel, really sad to find out few videos in it.