fedden/poker_ai

🤖 An Open Source Texas Hold'em AI

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Established

Implements Counterfactual Regret Minimization (MCCFR) through iterative self-play to learn Nash equilibrium strategies, using information set clustering to compress the massive game tree. Provides a complete pipeline: card abstraction via lossy/lossless compression, strategy training with resumable checkpoints, and interactive play via CLI or terminal UI against trained agents.

1,553 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,553

Forks

409

Language

Python

License

—

Category

card-game-ai

Last pushed

Apr 03, 2023

Commits (30d)

0

GitHub
Card Game AI · 44 frameworks

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