poker_ai and Texas-Hold-em-AI

poker_ai

Established

Texas-Hold-em-AI

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 20/25

Stars: 1,553

Forks: 409

Downloads: —

Commits (30d): 0

Language: Python

License: —

Stars: 117

Forks: 32

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: Apache-2.0

Archived Stale 6m No Package No Dependents

Stale 6m No Package No Dependents

About poker_ai

fedden/poker_ai

🤖 An Open Source Texas Hold'em AI

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.

About Texas-Hold-em-AI

Charleo85/Texas-Hold-em-AI

Research on Texas Hold'em AI

This project explores how machine learning can be used to develop an AI player for Texas Hold'em poker. It takes poker rules and game states as input to generate strategic decisions for playing hands. This is most useful for AI researchers interested in applying machine learning to complex, imperfect-information games.

game-AI poker-strategy machine-learning-research artificial-intelligence game-theory

Related comparisons

poker_ai and The-strongest-AI-in-Texas-Hold-em-unlimited-Texas-Hold-em_Online-Poker-Software poker_ai and pluribus

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