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AI Beats Professional Players at Super Smash Bros. Video Game


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Artificial intelligences latest challenge: Super Smash Bros.

A team led by Vlad Firoiu at Massachusetts Institute of Technology trained an artificial intelligence to play the Nintendo fighting game Super Smash Bros. Melee using deep learning algorithms, and then pitted it against 10 highly-ranked players; it came out on top against every one of them.

Credit: Alamy Stock Photo/REUTERS

Researchers at the Massachusetts Institute of Technology (MIT) trained an artificial intelligence (AI) system called SmashBot to play Nintendo's "Super Smash Bros. Melee" using deep-learning algorithms, and then challenged and defeated 10 highly ranked players.

Super Smash Bros. is different from other games taken on by AI systems because it is multiplayer and moves cannot be planned in advance.

The researchers trained SmashBot using reinforcement learning by initially pitting it against the in-game AI. They then entered SmashBot in two tournaments with professional players. SmashBot won more battles than it lost against each of the 10 high-ranking players, who ranked from 16th to 70th in the world.

SmashBot plays with a reaction speed of about 33 milliseconds, compared to more than 200 milliseconds for humans. However, the researchers want to restrict the AI's reaction time to build a system that is strategically superior when playing at human speed.

From New Scientist
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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