![]() ![]() Even with these modifications, no system has come anywhere close to rivalling the skill of professional players. The best results were made possible by hand-crafting major elements of the system, imposing significant restrictions on the game rules, giving systems superhuman capabilities, or by playing on simplified maps. The matches took place under professional match conditions on a competitive ladder map and without any game restrictions.Īlthough there have been significant successes in video games such as Atari, Mario, Quake III Arena Capture the Flag, and Dota 2, until now, AI techniques have struggled to cope with the complexity of StarCraft. In a series of test matches held on 19 December, AlphaStar decisively beat Team Liquid’s Grzegorz " MaNa" Komincz, one of the world’s strongest professional StarCraft players, 5-0, following a successful benchmark match against his team-mate Dario “ TLO” Wünsch. Now, we introduce our StarCraft II program AlphaStar, the first Artificial Intelligence to defeat a top professional player. In recent years, StarCraft, considered to be one of the most challenging Real-Time Strategy (RTS) games and one of the longest-played esports of all time, has emerged by consensus as a “grand challenge” for AI research. As capabilities have increased, the research community has sought games with increasing complexity that capture different elements of intelligence required to solve scientific and real-world problems. Games have been used for decades as an important way to test and evaluate the performance of artificial intelligence systems. ![]()
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