Now, since I mentioned RL.
So, we will go on to the next chapter which
was now becoming much more ambitious with
what you can do with deep learning and people
started beating humans at their own game quite
literally.
So, there was this starting with Atari games
in 2015, where resources from deep mind show
that you could train a deep neural network
to play Atari games and do much better than
what humans do, right?
So, that is something that they were able
to show on Atari games and then, people started
looking at other game.
So, then there was this GO and this popular
tournament and which AlphaGO which is deep
reinforcement learning based agent was actually
able to beat the reigning champion, at that
time one of the best players of GO at that
time.
Then, even at poker were something known as
DeepStack which is again a deep reinforcement
learning based agent which is able to beat
11 professional poker players at this game.
.
Then, other games like Defense of the Ancients
since on, which is a much more complex strategy
based game where again deep reinforcement
learning based agents have shown a lot of
success in beating top professional players
on this game, right?
