David Abel

@dabelcs

Ph.D Student in Reinforcement Learning at Brown. Interested in minds, machines, and their impact on the world.

Boston, MA
Vrijeme pridruživanja: siječanj 2018.

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  1. Prikvačeni tweet
    15. pro 2019.
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  2. proslijedio/la je Tweet
    15. sij

    When neuroscience and AI researchers get to chatting, cool stuff happens! My first, and I hope not last, trip into neuroscience has been published in Nature. 1/

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  3. proslijedio/la je Tweet

    Submissions for our ICLR workshop "Tackling Climate Change with Machine Learning" are now open! Papers and Proposals due: Feb 4 Apply to mentor or be mentored on submissions: Jan 14 More details:

    , , i još njih 4
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  4. 18. pro 2019.

    Really nice work from and George Konidaris on option learning!

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  5. 15. pro 2019.

    Also be sure to check out 's beautiful visual notes of sessions from the conference as well!

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  6. proslijedio/la je Tweet
    14. pro 2019.

    If anyone is curious, it looks like my talk at NeurIPS (Deep RL Workshop) will be livestreamed: Saturday (today, 12/14) 8pm East Coast time.

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  7. proslijedio/la je Tweet
    9. pro 2019.

    I’m giving a Tutorial on RL today! Mon Dec 9th 02:45 -- 04:45 PM @ West Exhibition Hall C + B3 Reinforcement Learning: Past, Present, and Future Perspectives

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  8. proslijedio/la je Tweet
    21. stu 2019.

    Delighted to share our Science article on making it easier ensure AI systems satisfy societal values. Lead by former postdoc Phil Thomas, w/Castro da Silvam, Barto, Giguere, Brun.

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  9. proslijedio/la je Tweet
    23. lis 2019.

    What am I going to do now that I got tenure? Start tweeting!

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  10. proslijedio/la je Tweet
    19. lis 2019.

    Excited to announce two bigAI papers in the new Current Opinion in Behavioral Sciences special issue on AI! Link:

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  11. proslijedio/la je Tweet
    8. lis 2019.

    Polar plots of primes. Wait for it... Can you guess what's going on? See the new video:

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  12. proslijedio/la je Tweet
    7. lis 2019.

    Conventional wisdom: "Not enough data? Use classic learners (Random Forests, RBF SVM, ..), not deep nets." New paper: infinitely wide nets beat these and also beat finite nets. Infinite nets train faster than finite nets here (hint: Neural Tangent Kernel)!

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  13. proslijedio/la je Tweet
    3. lis 2019.

    Check out new blog post on deep learning theory: ultra-wide neural network and Neural Tangent Kernel.

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  14. proslijedio/la je Tweet
    30. ruj 2019.

    Really clear and thoughtful review of an amazing decade of thinking by

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  15. proslijedio/la je Tweet
    22. kol 2019.

    Have a listen to DeepMind's new podcast! I'm in the first episode talking about the intersection of cognitive science and AI 🧠🤖

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  16. proslijedio/la je Tweet
    21. kol 2019.

    Excited to officially announce the Brown Integrative, General Artificial Intelligence (bigAI) initiative! Our mission is to facilitate the creation of embodied, general-purpose AI that is beneficial for humanity. Follow us to hear about our latest research and more! 🤖❤️

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  17. proslijedio/la je Tweet
    31. srp 2019.

    We are now recruiting submissions for the "Tackling Climate Change with Machine Learning" workshop at ! Submission deadline: Sept 11 Workshop date/location: Dec 13/14 in Vancouver, Canada Details at

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  18. 10. srp 2019.

    RLDM is just lovely! It was great to see everyone and hear about all the wonderful RL work going on -- already looking forward to RLDM 2021. Notes from this round available here:

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  19. proslijedio/la je Tweet
    1. srp 2019.

    Our paper on what makes abstractions useful is out! We provide a bird's eye view of how abstract representations help solve hard RL problems and what this may tell us about people. Really enjoyed working on this w T Griffiths and !

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  20. proslijedio/la je Tweet

    Announcing keynote speaker Dr. Alex Peysakhovich ()! For bio: Come to this exciting workshop at !

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