Conclusion
AlphaZero is a pivotal use of neural networks and Monte Carlo tree search to create computers that become subject-matter experts without input from human experts. The amount of time or computing power to train these networks to the point of being an expert is enormous, but the results are beyond promising. The following video provides a surface-level recap of AlphaZero and how it is used to intelligently play complex deterministic games. Again, to reiterate, our results shows that the AI trained to play Pente improved drastically in the first few iterations of training, and then the performance begins to slowly degrade over time. Figure 1: Elo Rating vs Training Iteration But why should anyone care about the results of this project or the results of AlphaZero? As the video summarizes, we are obligated to ask "why is this worth doing?" when the final version of a model like this requires a tremendous amount of computing power to create. This question was answered...