Google uses 1980s Atari video game to make its Deep Q artificial intelligence smarter

While computer systems can be programmed to perform specific pre-defined actions based on the information they’re given, they’ve yet to achieve something that resembles human learning. Google is now trying to teach artificial intelligence the intricacies of trial and error by making computer programmes “curious”, and it once again turning to the Atari to do so. Deep Q is no stranger to Atari games – in fact, it’s quite the pro. Google’s AI is capable of beating at least 49 titles thanks to the time it spent watching these games being played, and has even managed to beat professional human players’ top scores in 23 of these. More tech news from IBTimes UK Montezuma’s Revenge, however, offers a unique set of challenges. The notoriously difficult 1984 platformer tasks players with…


Link to Full Article: Google uses 1980s Atari video game to make its Deep Q artificial intelligence smarter

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!