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pyoudeyer's profile
Pierre-Yves Oudeyer
Pierre-Yves Oudeyer
Pierre-Yves Oudeyer
@pyoudeyer

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Pierre-Yves Oudeyer

@pyoudeyer

Research director @inria, Head of @flowersInria lab. Studying autonomous learning and curiosity in AI, machine learning, cognitive sciences, and education.

Bordeaux, France
pyoudeyer.com
Joined September 2013

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    Pierre-Yves Oudeyer‏ @pyoudeyer Jan 30
    • Report Tweet

    Amazing: every week I see a #DeepRL paper comparing algorithms using mean performance over *3* seeds ! Yes, ****3**** !!! Please please #DeepRL community, your great ideas will be served better using standard scientific methods!

    7:54 AM - 30 Jan 2020
    • 11 Retweets
    • 78 Likes
    • Andrzej Wąsowski Peter Henderson Richie Lo olivlogol Stéphane LATHUILIÈRE Francesco Ferro Jalaj Bhandari Nathan Lambert Jeremy.lee
    5 replies 11 retweets 78 likes
      1. New conversation
      2. Colombian To World‏ @colombia2World Jan 30
        • Report Tweet
        Replying to @pyoudeyer

        Agree ... Any suggestions / guidelines of how we could make it more scientifically rigorous and produce more trustworthy results ?

        3 replies 0 retweets 0 likes
      3. Florian Laurent‏ @MasterScrat Jan 30
        • Report Tweet
        Replying to @colombia2World @pyoudeyer

        "How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments" https://arxiv.org/abs/1806.08295 

        1 reply 4 retweets 22 likes
      4. 1 more reply
      1. Antoine Cully‏ @CULLYAntoine Jan 31
        • Report Tweet
        Replying to @pyoudeyer

        Totally agree! On the bright side, it is already 3 times more than what I used to see in this community a few years ago, and before that we often had the seed as part of the hyper parameters....

        0 replies 0 retweets 5 likes
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      1. Will Dabney‏ @wwdabney Jan 30
        • Report Tweet
        Replying to @pyoudeyer

        First, a quick mea culpa, I’m definitely guilty of this too. Solutions? As problematic as p-hacking is, it would already be an improvement if we were all reporting a reasonable statistical significance vs just eye-balling the learning curves (or worse).

        0 replies 0 retweets 2 likes
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      1. Sandu Ursu‏ @SanduUrsu Feb 1
        • Report Tweet
        Replying to @pyoudeyer

        Interestingly, this same practice of 18th century observational astronomers: averaging the 3 best measurements of a particular phenomenon motivated Laplace to develop the Central Limit Theorem (1810) & lay the foundation for what is now called "Bayesian statistics".

        0 replies 0 retweets 0 likes
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      1. Artem Molchanov‏ @amolchanov86 Jan 31
        • Report Tweet
        Replying to @pyoudeyer

        Well, give everyone access to clusters for free and the problem will disappear. It is never the issue of laziness - simply lack of money and time constraints.

        0 replies 0 retweets 1 like
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