Humans can help AI learn games more quickly

Google taught DeepMind to play Atari games all on its own, but letting humans help may be faster, according to researchers from Microsoft and Germany. They invited folks of varying skills to play five Atari 2600 titles: Ms. Pac-Man, Space Invaders, Video Pinball, Q*Bert and Montezuma’s Revenge. After watching 45 hours of human gameplay, the algorithm could beat its mentors …

MIT’s ‘Super Smash Bros.’ AI can compete with veteran players

For expert players, most video game AI amounts to little more than target practice — especially in fighting games, where it rarely accounts for the subtleties of human behavior. At MIT, though, they’ve developed a Super Smash Bros. Melee AI that should make even seasoned veterans sweat a little. The CSAIL team trained a neural network to fight by handing …

AI turns Game Boy Camera photos into decent shots

Many people have fond memories of using the Game Boy Camera, but to call its low-resolution black-and-white shots “photos” would be… generous. Don’t tell that to Roland Meertens, though. He recently devised a neural network that turns Game Boy Camera images into more presentable pictures. He trained the AI to clean up, colorize and fill in details for images by …

AIs fight to the death in ‘Doom’ contest next month

Google DeepMind took a leap forward last year when its artificial intelligence agent mastered 49 Atari 2600 games. The learning system, or “deep Q-network” (DQN), that DeepMind designed achieved this mastery through general experience, rather than specific programming for each game. This milestone is just one step along a grander path toward the general-purpose “smart machine”: an AI that can …