Kakegurui-Game
liars-dice
| Kakegurui-Game | liars-dice | |
|---|---|---|
| 1 | 2 | |
| 1 | 22 | |
| - | - | |
| 0.0 | 2.1 | |
| about 2 years ago | about 1 year ago | |
| Python | Python | |
| - | - |
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Kakegurui-Game
liars-dice
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Show HN: Liar's Dice AI from reinforcement learning
I realized there was a really simple way to implement Counter Factual Regret Minimization (CFR) with a value neural network trained from self play.
The code is on https://github.com/thomasahle/liars-dice . I will try to write a blog post about how it works later.
It starts learning from completely random play, but after about a million games the model is close to the Nash Equilibrium. The pytorch model is converted to ONNX runs entirely in the browser.
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Show HN: Simple Liar's Dice AI Using CFR
After Deepmind released their "Player of Games", I decided it would be a good Christmas project to make an AI for a game I've always loved: Liar's Dice (or Dudo).
I realized there was a really simple way to implement Counter Factual Regret Minimization (CFR) with a value neural network trained from self play.
The code is on https://github.com/thomasahle/liars-dice . I will try to write a blog post about how it works later.
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