An open source version of DeepMind’s toolset, PySC2, to allow researchers to easily use Blizzard’s feature-layer API with their agents.A series of simple RL mini-games to allow researchers to test the performance of agents on specific tasks.A joint paper that outlines the environment, and reports initial baseline results on the mini-games, supervised learning from replays, and the full 1v1 ladder game … Experimental versions of DeepMind’s StarCraft II agent, AlphaStar, will soon play a small number of games on the competitive ladder in Europe as part of ongoing research into AI. StarCraft II, created by Blizzard Entertainment, is set in a fictional sci-fi universe and features rich, multi-layered gameplay designed to challenge human intellect.Along with the original title, it is among the biggest and most successful games of all time, with players competing in esports tournaments for more than 20 years. The company is based in London, with research centres in Canada, France, and the United States.In 2015, it became a wholly owned subsidiary of Alphabet Inc.. DeepMind Technologies is a UK artificial intelligence company founded in September 2010, and acquired by Google in 2014. Our pioneering research includes deep learning, reinforcement learning, theory & foundations, neuroscience, unsupervised learning & generative models, control & robotics, and safety. When StarCraft came out in 1998, DeepMind artificial intelligence (AI) researcher Oriol Vinyals was a child in Spain. This is a collaboration between DeepMind and Blizzard to develop StarCraft II into a rich environment for RL research. In many cases, these are specialist systems that leverage enormous amounts of human expertise and data.However, for some problems this human knowledge may be too expensive, too unreliable or simply unavailable.

This domain poses a new grand challenge for reinforcement learning, representing a more difficult class of problems than considered in most prior work. The paper was an engineering tour de force, and presumably a key catalyst in DeepMind’s January 2014 sale to Google. This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning environment based on the StarCraft II game.

Google’s DeepMind artificial intelligence researchers have already mastered games like Pong, Chess and Go but their latest triumph is on another planet. This January, a preliminary version of AlphaStar defeated two of the world's top players in StarCraft II, one of the most enduring and popular real-time strategy video games of all time. PySC2 is DeepMind's Python component of the StarCraft II Learning Environment (SC2LE). Any surprises thus far? The games were streamed on Twitch and YouTube, and although AI …

AlphaStar is the first AI to reach the top league of a widely popular esport without any game restrictions.

Training AlphaStar, the DeepMind agent for Starcraft II, is not an easy feat either. A new DeepMind paper includes early results from feeding StarCraft data to its learning software, and shows it is a long way from mastering the game. The Challenge of StarCraft.

Experimental versions of DeepMind’s StarCraft II agent, AlphaStar, will soon play a small number of games on the competitive ladder in Europe as part of ongoing research into AI.

A new DeepMind paper includes early results from feeding StarCraft data to its learning software, and shows it is a long way from mastering the game. PySC2 - StarCraft II Learning Environment. It exposes Blizzard Entertainment's StarCraft II Machine Learning API as a Python RL Environment. Experimental versions of DeepMind’s StarCraft II agent, AlphaStar, will soon play a small number of games on the competitive ladder in Europe as part of ongoing research into AI. ... check out DeepMind’s joint paper with Blizzard on their early StarCraft II findings.) StarCraft II is a real-time strategy game from Blizzard Entertainment for the PC and Mac. Google’s DeepMind has beaten human professional players at StarCraft II using an AI system called AlphaStar. Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery.