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PostPosted: Tue Dec 07, 2021 4:36 pm 
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Joined: Tue Dec 07, 2021 8:33 am
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I converted DeepHoldem to a Python/PyTorch implementation working natively on Linux and Windows:
https://github.com/lucky72s/dyypholdem

It includes pre-trained models and pre-calculated bucketing data, so can be used for testing right away. I did not do any changes to the bucketing or bet sizing approach, but I am looking forward for input how this could be improved...


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PostPosted: Wed Feb 09, 2022 2:15 pm 
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Joined: Mon Jan 06, 2020 9:10 pm
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hey i sent you a pm.
i have many suggestions on how to improve this. i'm retraining nns to get a better performance, but most ideas come from this article: https://arxiv.org/abs/2007.10442
basically deepstack failed to beat slumbot but with a few tweaks its performance was greatly improved.
also i'm goint to rewrite big chunks of your code as it's a bit messy(especially nn parts) and i believe performance could be improved. also i found some bugs, would love to discuss more, drop me a message


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