Hi, me again, still trying to come up with a solution for Backgammon AI.
When I read about Gerald Tesauro's TDgammon - a backgammon AI implementation that can learn for itself yet can also play pretty well, I thought it'd be nice to dive into the subject and do something similar myself.
Wikipedia, just like other results in Google, had only shown me scattered information on puzzling subjects: Reinforcement Learning, Temporal Difference, TD(Lambda), Artificial Neural Networks, Feed-forward Backpropagation, Hidden Layers, etc. Unfortunately, being as thick as I am, I got quite lost in the land of terminology and couldn't put these little pieces together.
Apparently the water is deeper than I had hoped.
So any helpful tips on where do I begin, or how do I put it all together, would be greatly appreciated.
