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Do Androids Dream Of Explosive Sheep ?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Dash, Aleksander Handali, Nolan Jia, Franklin |
| Copyright Year | 2017 |
| Abstract | Hearthstone is an online trading card game that has rapidly increased in popularity since 2014 to become the most popular card game in the world, and one of the most popular mobile games as well. It is a two-player turn-based game that can be modeled as an adversarial game, and we implemented a minimax agent with a linear evaluation function, the weights of which were learned by running Monte Carlo simulations and using TD-learning. The player achieved a peak win rate within 10% of top human play against an aggressive opponent, and made action choices very similar to what a human would pick. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cs229.stanford.edu/proj2017/final-reports/5207482.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |