AI Bibliography
AI Bibliography |
|
 |
 |
 |
|
Brown, N., & Sandholm, T. (2019). Superhuman ai for multiplayer poker. Science, 365(6456), 885–890. |
| Resource type: Journal Article BibTeX citation key: Brown2019a View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General, Military Science, Neuroscience Subcategories: Advanced wargaming, Command and control, Deep learning, Human decisionmaking, JADC2, Machine learning, Military research, Neurosymbolic, Simulations, Strategy Creators: Brown, Sandholm Publisher: Collection: Science |
| Attachments |
| Abstract |
|
In recent years there have been great strides in artificial intelligence (AI), with games often serving as challenge problems, benchmarks, and milestones for progress. Poker has served for decades as such a challenge problem. Past successes in such benchmarks, including poker, have been limited to two-player games. However, poker in particular is traditionally played with more than two players. Multiplayer games present fundamental additional issues beyond those in two-player games, and multiplayer poker is a recognized AI milestone. In this paper we present Pluribus, an AI that we show is stronger than top human professionals in six-player no-limit Texas hold’em poker, the most popular form of poker played by humans. |