Superhuman AI Cracked An Impossible Game! | DeepNash, Explained
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- Опубліковано 21 гру 2022
- An explanation of DeepMind's DeepNash and what it means for us.
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Man, your channel is amazing!! Keep up the good work and I'm sure it'll be HUGE. It baffles me how it isn't yet.
Thanks!
Was not capable to learn more about AI today, but watched entire video with great attention. That's why I subscribed you ♥♥
You deep nailed it again.
You are really a great person ❤, you are spreading a very good knowledge about what is going in the AI world.
I just want to ask you how you are able to collect all this information and updated at same time ?
Wow! Greate update. Thanks!
Thanks!
Thanks for this, amazing job. +1 for making a video on Nash Equilibrium
Will definitely do!
Yes, Game theory and Nash equilibrium is indeed good for Reinforcement learning.
How is it different from Counterfactual Regret Minimization(CFR)? CFR combined with deep learning is well known solution for solving imperfect information game such as poker, and it also guarantees nash equilibrium in two player zero sum imperfect information game. Is deepnash different approach, or just case study of CFR applied to Stratego?
Lovely!! I'd love to see the Benchmarks that it has. Are you aware of any paper with those?
Yeah, check out the DeepNash paper (Google it) in Science.
Really good explanation of DeepNash 👍🏻
Thanks!
Wow! This is amazing stuff
Thanks!
how could we access to the Deepnash plays or even play with ?!
You've mentioned that we can use this model to solve real life problems like traffic predictions. But, how exactly can we use it's algorithm, I mean as it's newly released, how will we implement a code or something to apply it on a real life dataset.
Can you do a video on how contrastive learning works
That will be a great video!
I could see this being useful in wargamming
Would it be a problem if DeepNash tried to learn from itself but ended up playing a worse opponent and ended up faring poorly because it assumed that the opponent would make optimal decisions?
DeepNash tries to optimize for a Nash equilibrium regardless of what the other player does. It's not trying to "copy" the other player's strategies.
Yo, good job, keep at it! Small suggestion, don't put the stress on every sentence as it can be a bit too much at times to listen.
Great feedback! Thanks!
not superhuman but definitely impressive
Awww man truly beautiful, and you did ok too dad….
Lol
Awsome chanel...
But.... deep blue won with a simple brute force. I don't think it should be considered an algorithm that played chess. Showed only high computing power.
Well, computing alone doesn’t win games. You need an algorithm, regardless of how much brute force it uses.
@@underfitted After each move made, the remaining number of possible game scenarios decreased significantly. the program always made a move selecting only the scenarios that led to its victory. played completely "mindless". Here is the point...
@@DeeJayCzy well it was almost brute force because the solution sapce was too large and it still is large for the fastest and biggest supercomputers still.
If your son is like his father we will have double chance to have a better world! ;)
Ha! Thank you!
Yes please on Nash Equilibrium
Will do
6.00
A bit scary - Could we send a robot with DeepNash inside to Moscow. Goal: Find Putin and put him on the train to the war crimes tribunal in the Hague. That's a tough one.
Good video, but I hate your conclusion.
This looks like a central planners utopia but at the same time like a citizens dystopia and an Orwellian nightmare.