Meet the new StarCraft II Grandmaster: DeepMind’s AlphaStar

By William Smith
Artificial Intelligence company DeepMind has announced that its AlphaStar AI has reached the highest level of play in esport StarCraft II. The latest i...

Artificial Intelligence company DeepMind has announced that its AlphaStar AI has reached the highest level of play in esport StarCraft II.

The latest in a series of milestones achieved by the company, the news comes after DeepMind’s AlphaGo won a best-of-five against Go world champion Lee Sedol, before AlphaStar beat a professional StarCraft II player earlier this year. This latest development has seen AlphaStar playing against versions of itself to achieve Grandmaster ranking, denoting the top competitive league of StarCraft II when played as an esport. The AI is now ranked above 99.8% of other players.

The result is remarkable owing to the complexity of a game such as StarCraft II when compared with Go, and was accordingly published in the scientific paper Nature. For one, the game is played in real time rather than in turns, with there being no steady state of play to consider and then act upon. There’s also a vast array of actions possible at any time - up to 1026 according to DeepMind.


The AI was trained via an array of machine learning techniques including neural networks and reinforcement and imitation learning. Breaking down the jargon, AlphaStar essentially played versions of itself in different configurations, some intentionally weakened and known as “Exploiters”, learning each time.

AlphaStar does not win owing simply to an inhuman speed of operations; indeed, the AI is limited to a human-comparable frequency of actions. Neither is it able to see more of the game at any moment, restricted by a moveable camera viewpoint just as a human player is. Instead, AlphaStar competes on a level playing field.

Dario “TLO” Wünsch, a professional player of the game, described AlphaStar’s play as follows: “I’ve found AlphaStar’s gameplay incredibly impressive – the system is very skilled at assessing its strategic position, and knows exactly when to engage or disengage with its opponent. And while AlphaStar has excellent and precise control, it doesn’t feel superhuman – certainly not on a level that a human couldn’t theoretically achieve. Overall, it feels very fair – like it is playing a ‘real’ game of StarCraft.”

(Image: Blizzard)


Featured Articles

Fighting the Great Resignation with predictive analytics

As employers grapple with challenges brought about by the Great Resignation, could predictive analytics be the key to solving these problems?

Executive Q&A with Dr. Shu Wei Goh, COO, Skymind

Dr. Shu Wei Goh is also co-founder of the global AI ecosystem builder and VC firm, Skymind. He joins Technology Magazine for a chat about his journey

Biotech giant Benchling launch Alphafold AI from DeepMind

The Alphafold beta feature on the Benchling platform integrates deep learning into biomolecule design, boosting scientists in the biotech industry

Preparing for quantum: next steps for enterprise

Enterprise IT

How to strategise as a Chief Technology Officer

Digital Transformation

Tech leaders say AI reads human emotions better than people

AI & Machine Learning