DeepMind is Teaching AIs How to Manage Real-World Tasks Through Gaming – Futurism

In Brief Google’s DeepMind Labs has partnered with Blizzard Entertainment to release an application program interface that enables artificial intelligence researchers to develop their own AI agents for playing StarCraft II. The hope is that the release will spur innovation in deep reinforcement learning and related areas of AI research. “Glorious Combat Is Upon Us”

Last year, Google’s DeepMind announced a partnership with Blizzard Entertainment to develop and test artificial intelligence (AI) agents in the popular real-time strategy game StarCraft II. Now, DeepMind has released a series of tools they’re calling StarCraft II Learning Environment (SC2LE) to test their agents against human competitors, as well as enable researchers to develop their own agents for the game.

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“Testing our agents in games that are not specifically designed for AI research, and where humans play well, is crucial to benchmark agent performance,” DeepMind’s team wrote in a blog post. The large pool of online StarCraft II players will provide a huge variety of “extremely talented opponents” from which the AI can learn.

Details of DeepMind’s research were published in a paper alongside the released toolset, which includes a machine learning API; a dataset of game replays; an open source version of PySC2, the Python component SC2LE; and more.

A Unique Challenge

Artificially intelligent systems have already beaten humans in a number of games, including chess and some Atari games, and DeepMind has already succeeded at creating an AI that could dominate humans in the ancient Chinese game of Go.

However, StarCraft II presents a different challenge. The game is designed to be won by a single player who must successfully navigate an extremely challenging environment. AI agents have to be capable of managing sub-goals — gathering resources, building structures, remembering locations on a partially revealed map, etc. — in pursuit of a win,

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