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  1. Feb 14

    We've trained an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training:

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  2. Feb 2

    Join our Spinning Up in Deep RL Workshop starting at 9amPT via livestream:

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  3. 19 Dec 2018

    Check out the final projects from our first Fellows cohort, including work on generalization, scaling distributed neural networks, and stabilizing energy based models. Our Fellows program is a new 6-month apprenticeship in deep learning:

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  4. 14 Dec 2018

    Announcing the first finding from our "Science of AI" effort: a simple statistical metric that lets us predict the parallelizability of neural network training on a wide range of tasks:

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  5. 10 Dec 2018

    Deadline extension: Apply by Dec 15th to attend an in-person workshop at OpenAI on Feb 2nd 2019 about Spinning Up in Deep RL: Spinning Up in Deep RL details:

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  6. 6 Dec 2018

    We’re releasing CoinRun, an environment generator that provides a metric for an agent’s ability to generalize across new environments -

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  7. 17 Nov 2018

    We will now be accepting applications for our Winter 2019 OpenAI Scholars program until 11/30. More details:

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  8. Retweeted
    16 Nov 2018

    Learning to play Atari games without rewards by combining human preferences and expert demonstrations (collaboration with ):

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  9. 8 Nov 2018

    Releasing Spinning Up in Deep RL, a new educational package to let anyone become a deep reinforcement learning practitioner: Next year, we'll teach workshops on Spinning Up at CHAI, OpenAI, and other venues.

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  10. 7 Nov 2018

    We’ve built an energy-based model that can quickly recognize, generate, and transfer simple concepts after only 5 training demos:

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  11. 6 Nov 2018

    Introducing POLO, a framework that lets us learn tasks on the fly like humanoid locomotion and dexterous in-hand manipulation. Collaboration with the University of Washington.

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  12. Retweeted
    31 Oct 2018

    An agent which learned to play Mario without rewards. Instead, it was incentivized to avoid "boredom" (that is, getting into states where it can predict what will happen next). Discovered warp levels, how to defeat bosses, etc. More details:

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  13. 31 Oct 2018

    Random Network Distillation: A prediction-based method that achieves state-of-the-art performance on Montezuma’s Revenge -

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  14. 26 Oct 2018

    Want to help us build out our world-class team of engineers, researchers, policy experts, and more ensuring that safe artificial general intelligence benefits all of humanity? Apply to be a Recruiter at OpenAI:

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  15. 22 Oct 2018

    Iterated Amplification: An AI safety technique that has the potential to let us specify behaviors and goals that are beyond human scale:

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  16. 11 Oct 2018

    Apply for our Winter 2019 OpenAI Scholars Program, open to individuals from underrepresented groups in STEM interested in becoming deep learning practitioners -

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  17. 9 Oct 2018

    Come join the OpenAI team as a Fellow or Intern in 2019 — applications now open: !

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  18. Retweeted
    21 Sep 2018

    Have been making serious progress on OpenAI Five. Looking for Dota teams with average MMR 6.5k+ or Tier 3 and higher to test the latest version. Ping brooke@openai.com if you’d like to try it out!

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  19. 10 Sep 2018

    Neural waltzes, semantic trees, CycleGANs, and more - details on OpenAI Scholars' 2018 Final Projects: Demo day in San Francisco on September 20th!

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  20. 6 Sep 2018

    1. Double model size 2. Initialize from old parameters 3. 10 additional days of training Result: 80% win rate versus model that played on-stage at The International vs paiN Gaming.

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