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AI is (finally) able to master classic 1980s platform games
By Bang Showbiz
Scientists have created an AI program which can master classic 1980s platform games.
Researchers formed a family of algorithms - known collectively as Go-Explore - which is capable of completing Atari titles like Pitfall , Freeway and Montezuma s Revenge .
These games have been tough for AI in the past, but the algorithms could have real-world implications by helping robots better navigate certain environments.
These include the likes of disasters zones or the average home, with a range of benefits.
Researchers Adrien Ecoffet, Joost Huizinga and Jeff Clune told BBC News: Our method is indeed pretty simple and straightforward, although that is often the case with scientific breakthroughs.
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By Paul Rincon
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image captionMontezuma s Revenge is deceptively difficult to solve for an algorithm
Scientists have come up with a computer program that can master a variety of 1980s exploration games, paving the way for more self-sufficient robots.
They created a family of algorithms (software-based instructions for solving a problem) able to complete classic Atari games, such as Pitfall.
Previously, these scrolling platform games have been challenging to solve using artificial intelligence (AI).
The algorithms could help robots better navigate real-world environments.
This remains a core challenge in the fields of robotics and artificial intelligence. The types of environments in question include disaster zones, where robots could be sent out to search for survivors, or even just the average home.
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