For those interested i made a fully cuda implementation of alphazero for connect 4.
It can train a network to a very strong level in 2 to 3 hours on a single GPU, thanks to being able to play 32000 games in parallel.
It probably can be considerably optimized, as this is the first kernel i ever wrote. You can find everything in
I am now working on training an alphazero player for a board game. The implementation of board game is mine, MCTS for alphazero was taken elsewhere. Due to complexity of the game, it takes a much longer time to self-play than to train.
Download Alphazero
Download File 🔥 https://bytlly.com/2y3IQV 🔥
As you know, alphazero has 2 heads: value and policy. In my loss logging I see that with time, the value loss is decreasing pretty significantly. However, the policy loss only demonstrates fluctuation around its initial values. 2351a5e196
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