Beyond Alpha Zero, where is neural networks reinforcement learning now?


If you go through the paper the video is on, you'll see that they used deep reinforcement learning which basically makes use of both deep learning and reinforcement learning principles. So they actually did use a neural net.

But that is learning though.

The more advanced opponents it plays, the stronger it gets.
Therefore, AlphaZero can get uhhh.... unpredictable as the neural networks are dependent on the opponents it plays. If it plays a 500 rated player over and over again it learns from the match after playing. The computers logic - I need to just beat that particular human, not the world. AlphaZero
cant just play with weak opponents, else it becomes weak. The more it plays with itself..... The better it gets at drawing itself.



According to common logic, playing by yourself does improve your ability. i.e if you play with others lower than your rank, YOUR rank depletes.

When Alpha Zero scientific experience end in Chess Go and Shogi, many neural network training are going on many games like Starcraft, Dota and many other games.
This is one of achievement where neural networks can learn and evolve exactly the same like human.
https://youtu.be/kopoLzvh5jY