@article{Roberson_Sperduto_2019, title={A Monte Carlo Tree Search Player for Birds of a Feather Solitaire}, volume={33}, url={https://ojs.aaai.org/index.php/AAAI/article/view/5036}, DOI={10.1609/aaai.v33i01.33019700}, abstractNote={<p>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.</p>}, number={01}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Roberson, Christian and Sperduto, Katarina}, year={2019}, month={Jul.}, pages={9700-9705} }