poker_ai and pluribus

poker_ai

Established

pluribus

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 9/25

Maturity 8/25

Community 18/25

Stars: 1,553

Forks: 409

Downloads: —

Commits (30d): 0

Language: Python

License: —

Stars: 106

Forks: 19

Downloads: —

Commits (30d): 0

Language: Python

License: —

Archived Stale 6m No Package No Dependents

No License 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 pluribus

zanussbaum/pluribus

An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot

This project helps you explore and understand strategies for playing poker variants, specifically Kuhn Poker and Leduc Hold'em. It takes in the rules of these simplified poker games and outputs optimal playing strategies based on Monte Carlo Counterfactual Regret Minimization and Depth Limited Search. This is useful for researchers in game theory or AI, or anyone interested in developing advanced poker AI.

poker-AI game-theory multiplayer-agents strategic-decision-making AI-research

Related comparisons

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

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