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.
117 stars. No commits in the last 6 months.
Use this if you are an AI researcher or student studying game theory and machine learning, specifically interested in poker strategies.
Not ideal if you're looking for an out-of-the-box poker bot to play against or to integrate into an existing poker platform.
Stars
117
Forks
32
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 02, 2021
Commits (30d)
0
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