{"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-dataset-for-starcraft-ai-an-example-of","title":"A Dataset for StarCraft AI \\& an Example of Armies Clustering","arxiv_id":"1211.4552","date":"2012-11-19","proceeding":null,"authors":["Gabriel Synnaeve","Pierre Bessiere"],"abstract":"This paper advocates the exploration of the full state of recorded real-time\nstrategy (RTS) games, by human or robotic players, to discover how to reason\nabout tactics and strategy. We present a dataset of StarCraft games\nencompassing the most of the games' state (not only player's orders). We\nexplain one of the possible usages of this dataset by clustering armies on\ntheir compositions. This reduction of armies compositions to mixtures of\nGaussian allow for strategic reasoning at the level of the components. We\nevaluated this clustering method by predicting the outcomes of battles based on\narmies compositions' mixtures components","url_abs":"http://arxiv.org/abs/1211.4552v1","url_pdf":"http://arxiv.org/pdf/1211.4552v1.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-dataset-for-starcraft-ai-an-example-of","repo_url":"https://github.com/TorchCraft/StarData","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"real-time-strategy-games","task_name":"Real-Time Strategy Games"},{"task_slug":"starcraft","task_name":"Starcraft"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}