An Exploitative {Monte-Carlo} Poker Agent
| Type of publication: | Inproceedings |
| Citation: | jf:KI-09 |
| Booktitle: | Proceedings of the 32nd Annual German Conference on Artificial Intelligence (KI 2009, Paderborn, Germany) |
| Year: | 2009 |
| Pages: | 65--72 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-642-04617-9_9 |
| Abstract: | We describe the poker agent AKI-RealBot which participated in the 6-player Limit Competition of the third Annual AAAI Computer Poker Challenge in 2008. It finished in second place, its performance being mostly due to its superior ability to exploit weaker bots. This paper describes the architecture of the program and the Monte-Carlo decision tree-based decision engine that was used to make the bot’s decision. It will focus the attention on the modifications which made the bot successful in exploiting weaker bots. |
| Keywords: | |
| Authors | |
| Editors | |
|
Topics
|
|
|
|
