[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-141176-105":59,"doc-detail-141176-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","mario-ai-benchmark-and-competitions","Mario AI Benchmark and Competitions","","The paper presents the Mario AI Benchmark, a game-based benchmark designed for reinforcement learning algorithms and game AI techniques. Built on a public-domain clone of Super Mario Bros, the benchmark is open source and has been used in competitions linked to international conferences. The authors summarize community contributions, review the state of the art in Mario-playing AIs, and document how the benchmark evolved, serving as a reference for research and teaching.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/mario-ai-benchmark-and-competitions/141176/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/mario-ai-benchmark-and-competitions/141176.png","ImageObject",300,407,{"name":92,"@type":93},"Oliver Hayes","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-08-25",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",18,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the Mario AI Benchmark used for?","Question",{"text":113,"@type":114},"It is a game-based benchmark for reinforcement learning algorithms and game AI techniques, providing a standardized platform to compare methods.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What game forms the basis of the Mario AI Benchmark?",{"text":118,"@type":114},"The benchmark is based on Infinite Mario Bros, which is a public-domain clone of Nintendo’s classic Super Mario Bros.",{"name":120,"@type":111,"acceptedAnswer":121},"How are competitions connected to the benchmark?",{"text":122,"@type":114},"Competitions were held during 2009 and 2010 using successive versions of the benchmark, and the submissions and media attention led to broader use in university courses.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},141176,1787650262,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145,"preview_page_count":4},687207020761,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","The Mario AI Benchmark and Competitions  \nSergey Karakovskiy and Julian Togelius  \nAbstract—This paper describes the Mario AI benchmark, a game-based benchmark for reinforcement learning algorithms and game AI techniques developed by the authors. The benchmark is based on a public domain clone of Nintendo's classic platform game Super Mario Bros, and completely opensource. During the last two years, the benchmark has been used in a number of competitions associated with international conferences, and researchers and students from around the world have contributed diverse solutions to try to beat the benchmark. The paper summarises these contributions, gives an overview of the state-of-art in Mario-playing AIs, and chronicles the development of the benchmark. This paper is intended asthe definitive point of reference for those using the benchmark for research or teaching.  \nKeywords: game AI, reinforcement learning, benchmarking, competitions  \nI. INTRODUCTION  \nWhen doing research in computational and/or artificial intelligence applied to games, it is important to have suitable games to apply the AI algorithms to. This applies regardless of whether one is doing research on using games to test and improve artificial intelligence (games provide challenging yet scalable problems which engage many central aspects of human cognitive capacity), or whether one is doing research on using CI/AI methods to improve games (for example with player satisfaction modelling, procedural content generation and creation of believable and interesting bots) . No single game will ever satisfy all projects and directions within this steadily growing research field, as different games pose different challenges. However, the community has much to gain from standardising on a relatively small set of games, which are freely available and on which competing CI/AI methods can be easily and fairly compared.  \nA “perfect benchmark game” would have to satisfy numerous criteria. It should test a number of interesting cognitive abilities, preferably such that are not effectively tested by other benchmark games already out there. It should be “easy to learn but hard to master”, in other words either have atunable challenge level or have a naturally deep learning curve, so that it differentiates between players and algorithms of different skill at all levels. It should be visually appealing, easy to understand and generally something that spectators know and care about. People should like to play it. The policy representation (or input/output space) should be sufficiently general that a number of different CI/AI methods can be applied to it without too much work.  \nSK is with St. Petersburg State University, Universitetskii prospekt 35, Petergof, 198504 Saint-Petersburg, Russia. JT is with the Center for Computer Games Research, IT University of Copenhagen, Rued Langgaards Vej 7,  \n2300 Copenhagen, Denmark. Emails: [sergey@idsia.ch](sergey@idsia.ch), [julian@togelius.com](julian@togelius.com)  \nThe technical platform is also important. The benchmark game implementation should run on major computing platforms available now and in the foreseeable future, and should run identically on all systems. The software needs to be simple to install, the API easy to understand and it should be possible for anyone with adequate programming knowledge to have a simple solution up and running within five minutes, otherwise many researchers will choose to use their own benchmarks which they know better. The implementation needs to be computationally lightweight, and able to be sped up to many times (hundreds or thousands of times) real-time performance. This last criterion is particularly important for applying learning algorithms to the game.  \nIn this paper we present the Mario AI Benchmark, a benchmark software based on Infinite Mario Bros which in turn is a public domain clone of Nintendo's classic platform game Super Mario Bros. We argue that this benchmark satisfies all of the crite","cbCaifHuBrBLreq0","https://ap.wps.com/l/cbCaifHuBrBLreq0","pdf",1133668,14,"English","# Introduction\n## Previous game-based competitions and benchmarks\n## Mario AI Benchmark design criteria\n## Benchmark implementation and API\n## Competitions and results overview\n## Related research and usage guidance","[{\"question\":\"What is the Mario AI Benchmark used for?\",\"answer\":\"It is a game-based benchmark for reinforcement learning algorithms and game AI techniques, providing a standardized platform to compare methods.\"},{\"question\":\"What game forms the basis of the Mario AI Benchmark?\",\"answer\":\"The benchmark is based on Infinite Mario Bros, which is a public-domain clone of Nintendo’s classic Super Mario Bros.\"},{\"question\":\"How are competitions connected to the benchmark?\",\"answer\":\"Competitions were held during 2009 and 2010 using successive versions of the benchmark, and the submissions and media attention led to broader use in university courses.\"}]","Mario AI Benchmark and Competitions | PDF",35]