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| Content Provider | ACM Digital Library |
|---|---|
| Author | Popyack, Jeffrey L. |
| Abstract | Blackjack is a multi-player card game in which each player makes a sequence of decisions based on a partially-observed game state that evolves under uncertainty. In its casino variant, Blackjack is typically played as a set of separate contests, each involving a player and the dealer, whose decisions are determined according to a published, fixed policy. We have developed and used a sequence of assignments for an advanced artificial intelligence course in which students determine an optimal strategy for Blackjack, modeled as a Markov Decision Process. The course culminates in a Blackjack tournament in which agents employ policies students have determined through their analyses. |
| Starting Page | 208 |
| Ending Page | 212 |
| Page Count | 5 |
| File Format | |
| ISSN | 00978418 |
| DOI | 10.1145/1595496.1562944 |
| Journal | ACM SIGCSE Bulletin (SGCS) |
| Volume Number | 41 |
| Issue Number | 3 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1978-02-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Markov chain Markov decision process Blackjack Artificial intelligence Tournament |
| Content Type | Text |
| Resource Type | Article |
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