AlphaGo Zero: Learning from scratch
The fact that they only used self play with no outside input here is really interesting. I wonder if this system produced more new styles of play. While I am not that familiar with Go, I know in some of the other articles they talk about things like Chinese starts that are specific to certain cultures. I wonder if the fact that it had no outside reinforcement made it produce movements that we have already seen that are somehow inherent to the game, or if it produced many more new moves that were a result of it learning without any possibility of cultural interference. According to the article it did invent some unconventional and creative moves, but I also wonder how much it rediscovered.<p>I also wonder how much it’s style of play changes if it were re trained, due to the random start that it is given. Maybe that would produce something like seeds for procedurally generated worlds in games. Like if they could find a seed for a Chinese or japanese players, or ones that more aggressive styles. This is some pretty cool work and may open up even more doors for pure reinforcement learning