{"type":"ScholarlyArticle","title":"Using Double-Oracle Method and Serialized Alpha-Beta Search for Pruning in Simultaneous Move Games","authors":[{"name":"Branislav Bosanský","slug":"branislav-bosansky","given":"Branislav","family":"Bošanský","affiliation":""},{"name":"Viliam Lisý","slug":"viliam-lisy","given":"Viliam","family":"Lisý","affiliation":""},{"name":"Jiri Cermak","slug":"jiri-cermak","given":"Jiri","family":"Cermak","affiliation":""},{"name":"Roman Vitek","slug":"roman-vitek","given":"Roman","family":"Vitek","affiliation":""},{"name":"Michal Pechoucek","slug":"michal-pechoucek","given":"Michal","family":"Pechoucek","affiliation":""}],"abstract":"We focus on solving two-player zero-sum extensive-form games with perfect information and simultaneous moves. In these games, both players fully observe the current state of the game where they simultaneously make a move determining the next state of the game. We solve these games by a novel algorithm that relies on two components: (1) it iteratively solves the games that correspond to a single simultaneous move using a double-oracle method, and (2) it prunes the states of the game using bounds on the sub-game values obtained by the classical Alpha-Beta search on a serialized variant of the game. We experimentally evaluate our algorithm on the Goofspiel card game, a pursuit-evasion game, and randomly generated games. The results show that our novel algorithm typically provides significant running-time improvements and reduction in the number of evaluated nodes compared to the full search algorithm.","doi":null,"url":"https://ijcai.org/proceedings/2013/19","pdf":"https://ijcai.org/proceedings/2013/0019.pdf","markdown":"https://ijcai.org/proceedings/2013/19.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/19","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":19,"pages":{"first":48,"last":53},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}