Markus Wulfmeier

@markus_with_k

Machine Learning & Robotics Research Scientist - Data Efficiency & Transfer Learning - priors LUH

London, England
Vrijeme pridruživanja: prosinac 2015.

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  1. Prikvačeni tweet
    6. ožu 2018.

    After long nights and sacrificed weekends, many chats with colleagues and friends, I have finally completed this (much too long) post on and Structure for Mobile

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  2. 4. velj
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  3. 1. velj

    If has made me realize one directly actionable thing, it is to make use of easy travel to this wonderful range of countries and cultures during the following year!

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  4. 31. sij

    Misinformation, misguided anger and a massive gamble will have a long lasting effect on UK and European science. Let's work together to improve the situation and ensure this does not happen again!

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  5. proslijedio/la je Tweet
    29. sij

    Congratulations to on coming out of stealth and delivering product-level results. It's about time to bring ML revolution to robotics and physical world, as it did for digital world.

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  6. 23. sij

    Great coverage by in regarding our recent work on effective treatment of hybrid problems with discrete-continuous action spaces in their native form (imagine e.g. controlling gears and gas in your car).

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  7. proslijedio/la je Tweet
    23. sij

    Reminders of deadlines: Papers: abstracts due 30 Jan, papers due 6 Feb Workshops: due 14 Feb Tutorials: due 21 Feb details on each: Please submit (and circulate the calls!)

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  8. 4. sij

    Sometimes you find Waldo where you don't expect him. (Here: Asimov's Foundation series)

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

    I'm pleased to announce that we're now accepting applications for a fully funded doctoral studentship in my lab at Oxford, thanks to a generous gift from DeepMind. Applicants from members of underrepresented groups are especially encouraged to apply.

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  10. 15. pro 2019.

    Today in 'why is this a thing?': Handing someone your business card without introducing yourself...

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  11. 15. pro 2019.

    Thanks again to all speakers and contributors of the workshop. All talks should be online under

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  12. 15. pro 2019.
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  13. 14. pro 2019.
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  14. 14. pro 2019.

    Now: Nima Fazeli is talking about Toward Topic Models of Robotic Manipulation and the JengaBot Robot Learning workshop! (West 220 222)

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  15. proslijedio/la je Tweet

    Uploaded my slides from this morning's talk at Robot Learning workshop

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  16. 14. pro 2019.

    Next up is from talking to us about Scalable Robot Learning Robot Learning workshop! (West 220 222)

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  17. 14. pro 2019.

    And connections between classical motion planning and reinforcement learning

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  18. 14. pro 2019.

    Now: Takayuki Osa is presenting on How should we design a robot learning system? At the Robot Learning workshop.

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  19. 14. pro 2019.

    Laura Smith is now presenting work on AVID: Learning to Imitate Human Demonstrations via CycleGAN In the Robot Learning workshop! (West 220 222)

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  20. 13. pro 2019.

    Deep Reinforcement Learning, Transferable Skills and Robot Learning workshops at on the same day. Lots of exciting talks tomorrow! Luckily you'll be able to watch all talks later through

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  21. 13. pro 2019.

    Roland Hafner, James Harrison, Karol Hausman, Edward Johns, Ashvin Nair, Takayuki Osa, Simone Parisi, Akshara Rai, Nemanja Rakicevic, Dushyant Rao, Siddharth Reddy, Apoorva Sharma, Johannes A. Stork, Li Sun, Filipe Veiga, Ruohan Wang, Ruohan Wang, Rob Weston, Yizhe Wu

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