{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-survey-of-monte-carlo-tree-search-methods","title":"A Survey of Monte Carlo Tree Search Methods","arxiv_id":null,"date":"2012-02-03","proceeding":"IEEE Transactions on Computational Intelligence and AI in Games 2012 2","authors":["Cameron B. Browne","Edward Powley","Daniel Whitehouse","Simon M. Lucas","Peter I. Cowling","Philipp Rohlfshagen","Stephen Tavener","Diego Perez","Spyridon Samothrakis","Simon Colton"],"abstract":"Monte Carlo Tree Search (MCTS) is a recently proposed search method that combines the precision of tree search with the\r\ngenerality of random sampling. It has received considerable interest due to its spectacular success in the difficult problem of computer Go, but has also proved beneficial in a range of other domains. This paper is a survey of the literature to date, intended to provide a snapshot of the state of the art after the first five years of MCTS research. We outline the core algorithm’s derivation, impart some structure on the many variations and enhancements that have been proposed, and summarise the results from the key game and non-game domains to which MCTS methods have been applied. A number of open research questions indicate that the field is ripe for future work.","url_abs":"https://ieeexplore.ieee.org/abstract/document/6145622","url_pdf":"https://link.zhihu.com/?target=http%3A//pubs.doc.ic.ac.uk/survey-mcts-methods/survey-mcts-methods.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-survey-of-monte-carlo-tree-search-methods","repo_url":"https://github.com/xiuyu0000/new_papers_codes/tree/main/mcts","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}