A.I Just Beat The Best Human Players At Poker
11, poker pros are competing against artificial intelligence developed by Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans playing one of the world's toughest poker games.
After 20 days of play at a casino in Pittsburgh, an AI built by two Carnegie Mellon researchers officially defeated four top players at no-limit Texas Hold 'Em a particularly complex form of poker that relies heavily on longterm betting strategies and game theory.
But this time, they won handily: Across 20 days of play, Libratus topped its four human competitors by more than $1.7 million, and all four humans finished with a negative number of chips.
The human players who along with McAulay include Dong Kim, Jason Les, and Jimmy Chou believe that the machine's play changed from day to day.
Sandholm and Brown may have worked to change the machine's behavior from day to day, as they did when their earlier AI, Claudiro, went up against human players nearly two years ago.
Though the game was heads-up Hold 'Em meaning each player was playing his own game against the machine they would share strategies in the evenings.
Discover, Learn and Evaluate AI Companies and Solutions
The latest updates from AI companies in your industry
Get a weekly newsletter with the latest posts directly from the AI companies. Follow companies to tailor your feed.
Experience the leading AI demand forecasting platform.
Get your image labeled efficiently and cost-effectively.
SPELL - HYPERPARAMETER SEARCHES
Optimize hyperparameters to improve the accuracy of your model with the Spell Hyper command
SPELL - JUPYTER NOTEBOOK SERVER - GPU POWERED
Collaborative Jupyter Notebook or JupyterLab workspace server with powerful GPUs
SPELL - DEEP LEARNING PLATFORM
The fastest and most powerful end-to-end platform for machine learning and deep learning.