{"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/alphagomoku-an-alphago-based-gomoku","title":"AlphaGomoku: An AlphaGo-based Gomoku Artificial Intelligence using Curriculum Learning","arxiv_id":"1809.10595","date":"2018-09-27","proceeding":null,"authors":["Zheng Xie","Xingyu Fu","JinYuan Yu"],"abstract":"In this project, we combine AlphaGo algorithm with Curriculum Learning to\ncrack the game of Gomoku. Modifications like Double Networks Mechanism and\nWinning Value Decay are implemented to solve the intrinsic asymmetry and\nshort-sight of Gomoku. Our final AI AlphaGomoku, through two days' training on\na single GPU, has reached humans' playing level.","url_abs":"http://arxiv.org/abs/1809.10595v1","url_pdf":"http://arxiv.org/pdf/1809.10595v1.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":"alphagomoku-an-alphago-based-gomoku","repo_url":"https://github.com/PolyKen/15_by_15_AlphaGomoku","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":null,"task_name":"GPU"}],"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}