ReinforcementLearning

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  • YASUYOSHI CHIBA via Getty Images

    Facebook taught an AI the 'theory of mind'

    by 
    Andrew Tarantola
    Andrew Tarantola
    12.06.2019

    When it comes to competitive games, AI systems have already shown they can easily mop the floor with the best humanity has to offer. But life in the real world isn't a zero sum game like poker or Starcraft and we need AI to work with us, not against us. That's why a research team from Facebook taught an AI how to play the cooperative card game Hanabi (the Japanese word for fireworks), to gain a better understanding of how humans think.

  • ASSOCIATED PRESS

    AI learns to solve a Rubik's Cube in 1.2 seconds

    by 
    Kris Holt
    Kris Holt
    07.17.2019

    Researchers at the University of California, Irvine have created an artificial intelligence system that can solve a Rubik's Cube in an average of 1.2 seconds in about 20 moves. That's two seconds faster than the current human world record of 3.47 seconds, while people who can finish the puzzle quickly usually do so in about 50.

  • ASSOCIATED PRESS

    Facebook open-sources its Horizon AI platform

    by 
    AJ Dellinger
    AJ Dellinger
    11.01.2018

    If you could crack open Facebook and see the gears turning under the social network's face, you'd find a surprising amount of artificial intelligence being applied in all sorts of ways. As of today, the company is pulling back the curtain and making Horizon -- the company's end-to-end applied reinforcement learning platform that helps fine-tune that AI -- open source.

  • DeepMind

    Google DeepMind AI learns to creatively move around obstacles

    by 
    Swapna Krishna
    Swapna Krishna
    07.10.2017

    Reinforcement learning (RL) is the practice of teaching and guiding behavior by using a reward system. Desirable behavior produces rewards; undesirable behavior does not. It's a common tool used in machine learning, and now the the Alphabet team has used it to teach the DeepMind AI to successfully navigate a parkour course.

  • Denver Post via Getty Images

    Microsoft’s AI earns perfect Ms Pac-Man score

    by 
    Andrew Tarantola
    Andrew Tarantola
    06.14.2017

    Some tasks are just too complex, too nuanced to tackle all at once, like beating all 256 levels of Ms. Pac-Man on the Atari 2600 while earning a perfect score of 999,990. That's why Microsoft didn't even try to train its AI to take it on in one go. Instead the company, as it announced on Wednesday, split this monumental challenge up into smaller, chomp-sized pieces and trained a hivemind of 150 AIs to accomplish it as a team.

  • Tom Merton via Getty Images

    Sony wants to push AIs to learn from their own experiences

    by 
    Mona Lalwani
    Mona Lalwani
    05.17.2016

    Artificial intelligence is being put through rigorous training. Major technology companies like Microsoft, Google, IBM and Amazon have invested heavily in machine learning techniques that teach systems how to think and react like humans. Now Sony is stepping in to introduce a new layer of learning that it believes will power the next generation of AIs.

  • Warner Bros.

    Elon Musk's AI initiative opened an online dojo

    by 
    Timothy J. Seppala
    Timothy J. Seppala
    04.29.2016

    I'm going to go out on a limb here and say that the artificial intelligence you coded in your garage probably doesn't have the type of resources behind it that Google used to make DeepMind a fearsome Go competitor. That's what the Elon-Musk-backed OpenAI Gym is for. It's in open beta right now, and available test environments include Go on 9x9 and 19x19 boards, a ton of classic Atari games and robot control simulations, among others, with more to come.

  • Robot Archer iCub learns to shoot arrows, pierces our mortal heart (video)

    by 
    Sean Hollister
    Sean Hollister
    09.25.2010

    How do you make a creepy baby robot downright cute? Give it an Indian headdress and teach it the bow-and-arrow, of course. The same team of researchers who brought us the pancake-flipping robot arm have imbued this iCub with a learning algorithm that lets it teach itself archery much the same as a human might do, by watching where the suction-tipped arrow lands and adjusting its aim for each subsequent shot. In this case, it obtained a perfect bullseye after just eight attempts. Watch it for yourself after the break, and ponder the fate of man -- how can we possibly stop an uprising of adorable robots that never miss?