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  1. proslijedio/la je Tweet
    30. sij

    Humans learn from curriculum since birth. We can learn complicated math problems because we have accumulated enough prior knowledge. This could be true for training a ML/RL model as well. Let see how curriculum can help an RL agent learn:

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  2. proslijedio/la je Tweet
    30. sij
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  3. proslijedio/la je Tweet
    30. sij

    Welcome OpenAI to the PyTorch community!

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  4. proslijedio/la je Tweet
    30. sij

    We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL):

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  5. 17. sij

    Cool theory paper presenting a problem that: - can be efficiently learned by SGD with a DenseNet with x^2 nonlin, - cannot be efficiently learned by any kernel method, including NTK.

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  6. proslijedio/la je Tweet
    12. sij

    The funny thing about AIDungeon is due to all the GPT-2 pre-training on swaths of random web text, you can create an adventure game about literally anything. Here's one about installing OpenCV from source:

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  7. proslijedio/la je Tweet
    9. sij

    Watched "The Squire — AI Written Short Film". It's a live-action adaption of AI Dungeon gameplay. Super fun to see!

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  8. 6. sij
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  9. proslijedio/la je Tweet
    30. pro 2019.

    I agree with this article that AI Dungeon 2 (the GPT-2 powered text-based game of infinite possibilities) is "one of the coolest video game experiments of 2019". You should definitely check it out: . Great work !

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  10. 3. sij

    Seconded! It'll be a truly great talk.

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  11. 22. pro 2019.
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  12. 15. pro 2019.
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  13. proslijedio/la je Tweet
    13. pro 2019.

    Dota 2 with Large Scale Deep Reinforcement Learning Via

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  14. 13. pro 2019.
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  15. 9. pro 2019.

    Cool short video on the history of AI:

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  16. 5. pro 2019.

    Stop attacking junior researchers asking for feedback.

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  17. 5. pro 2019.

    If ML is applied to ML training, ML training should become faster and easier. Join us to help make it happen:

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  18. 5. pro 2019.

    The double descent phenomenon occurs in practical deep learning settings. Interesting that it went unnoticed for so long!

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  19. 3. pro 2019.

    Our contribution to increasing the entropy of RL environments:

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  20. proslijedio/la je Tweet
    2. pro 2019.

    Enjoyed this article on GPT-2, the last in a six-article series by on the cultural history of natural language processing.

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