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Super Smash Borg Melee: AI takes on top players of the classic Nintendo fighting game



You can add the cult classic Super Smash Bros Melee to the list of games soon to be dominated by AIs. Research at MIT’s Computer Science and Artificial Intelligence Laboratory has produced a computer player superior to the drones you can already fight in the game. It’s good enough that it held its own against globally-ranked players.

In case you’re not familiar with Smash, it’s a fighting game series from Nintendo that pits characters from the company’s various franchises against each other. Its cutesy appearance belies its strategic depth: “The SSBM environment has complex dynamics and partial observability,  making it challenging for human and machine alike.  The multiplayer aspect poses an additional  challenge,” reads the paper’s abstract.

The team, led by Vlad Firoiu, trained a neural network model to play the game by feeding it the coordinates of all the gameplay items — players, ledges, and so on — and incentivizing play that resulted in the computer’s victory. It doesn’t watch the screen and learn from that, as some systems do, but is more like an in-game computer player that’s learned everything from scratch.

Its playing style, as so often seems to be the case with these models, is a mixed bag of traditional and odd:

“It uses a combination of human techniques and some odd ones too – both of which benefit from faster-than-human reflexes,” wrote Firoiu in an email to TechCrunch. “It is sometimes very conservative, being unwilling to attack until it sees there’s a opening. Other times it goes for risky off-stage acrobatics that it turns into quick kills.”