Comments (3)
Hi @b0n541 if you want to create an AlphaZero, could you please share some notes about Keras/PyTorch implementation for that model?
Probably after that I could say more about is it possible or not
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I have found the following information:
https://medium.com/applied-data-science/alphago-zero-explained-in-one-diagram-365f5abf67e0
https://github.com/deepmind/open_spiel/blob/master/docs/alpha_zero.md#model
https://github.com/deepmind/open_spiel/blob/master/open_spiel/python/algorithms/alpha_zero/model.py
What we would need is a way to split the network after the first couple of layers into two stacks of following layers with dedicated outputs for the game value prediction and the move prediction.
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Do you mean reinforcement learning?
Can I implement reinforcement learning in Kotlin DL to play chess or any other 1v1 board game where the model will play against itself?
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