A Monte Carlo tree search player for birds of a feather solitaire
| dc.contributor.author | Roberson, Christian | |
| dc.contributor.author | Sperduto, Katarina | |
| dc.date.accessioned | 2022-09-30T15:52:19Z | |
| dc.date.available | 2022-09-30T15:52:19Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Artificial intelligence in games serves as an excellent platform for facilitating collaborative research with undergraduates. This paper explores several aspects of a research challenge proposed for a newly-developed variant of a solitaire game. We present multiple classes of game states that can be identified as solvable or unsolvable. We present a heuristic for quickly finding goal states in a game state search tree. Finally, we introduce a Monte Carlo Tree Search-based player for the solitaire variant that can win almost any solvable starting deal efficiently. | en_US |
| dc.identifier.citation | Roberson, C., & Sperduto, K. (2019). A Monte Carlo Tree Search Player for Birds of a Feather Solitaire. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9700-9705. https://doi.org/10.1609/aaai.v33i01.33019700 | en_US |
| dc.identifier.doi | https://doi.org/10.1609/aaai.v33i01.33019700 | |
| dc.identifier.issn | 2159-5399 | |
| dc.identifier.uri | https://doi.org/10.1609/aaai.v33i01.33019700 | |
| dc.identifier.uri | http://hdl.handle.net/11416/805 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | PKP Publishing Services Network | en_US |
| dc.subject | Artificial intelligence | en_US |
| dc.subject | Solitaire (Game) | en_US |
| dc.title | A Monte Carlo tree search player for birds of a feather solitaire | en_US |
| dc.type | Article | en_US |
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