May-13-2020, 03:34 AM
I'm a hobbyist. I have a project in mind (a bit ambitious for me) for which I would like a little guidance. I have built a Mancala AI that is fairly good, but I want to improve it.
I would like to produce a neural network that would utilize reinforcement learning by playing against itself to learn the game. However, I have only scratched the surface of ANNs. I have followed tutorials for perceptrons and have a general understanding of more complex ANNs, but haven't ventured much further that that.
I know there are many courses available. But I am wondering if anyone could give me more targeted suggestions as to how to approach this project--as in some detail about a neural network applied to the game of Mancala.
Thanks
I would like to produce a neural network that would utilize reinforcement learning by playing against itself to learn the game. However, I have only scratched the surface of ANNs. I have followed tutorials for perceptrons and have a general understanding of more complex ANNs, but haven't ventured much further that that.
I know there are many courses available. But I am wondering if anyone could give me more targeted suggestions as to how to approach this project--as in some detail about a neural network applied to the game of Mancala.
Thanks