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Joe Ortiz
55 posts
@joeaortiz

Joe Ortiz

@joeaortiz
@GoogleDeepMind world models | Ex @AIatMeta (FAIR), PhD @imperialcollege
London, England
joeaortiz.github.io
Joined December 2018
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  • @joeaortiz
    Joe Ortiz
    @joeaortiz
    Jan 29
    Go play Genie 🧞🧞🧞
    @GoogleDeepMind
    Google DeepMind
    @GoogleDeepMind
    Jan 29
    Step inside Project Genie: our experimental research prototype that lets you create, edit, and explore virtual worlds. 🌎
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  • @joeaortiz
    Joe Ortiz
    @joeaortiz
    Dec 10, 2025
    We’re hiring student researchers at Google DeepMind for 2026. Come work with our great team in SF on anything from diffusion / world models / 3D. Send me an email if you’re interested!
    55
  • @joeaortiz
    Joe Ortiz
    @joeaortiz
    Aug 5, 2025
    Genie3 is a real-time, interactive and general world model! Excited to see it used for training agents. It's also really fun to play around with.
    @holynski_
    Aleksander Holynski
    @holynski_
    Aug 5, 2025
    #Genie3 is a real, interactive, playable experience. We're having so much fun with it at work---in between meetings, during breaks. Here's @RuiqiGao, @joeaortiz, @ChrisWu6080 following a pack of polar bears through a New York City street! Check out more on the webpage:
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  • @joeaortiz
    Joe Ortiz
    @joeaortiz
    Feb 5, 2025
    Introducing our new MBRL agent for Craftax-classic. Our agent is both SOTA and the first to exceed human expert reward! 🕹️ The method combines new techniques for learning and planning with transformer world models. See details in @antoine_dedieu's 🧵 arxiv.org/abs/2502.01591
    @antoine_dedieu
    antoine dedieu
    @antoine_dedieu
    Feb 5, 2025
    Happy to share our new preprint “Improving Transformer World Models for Data-Efficient RL”: arxiv.org/abs/2502.01591 We propose a ladder of improvements to model-based RL and achieve for the first time a superhuman reward on the challenging Craftax-classic benchmark! 1/10
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  • @joeaortiz
    Joe Ortiz
    @joeaortiz
    Nov 13, 2024
    Robust visual + tactile perception is key for robot dexterity In our new @SciRobotics paper, we use neural fields for in-hand reconstruction + pose estimation of novel objects. science.org/doi/10.1126/sc… See @Suddhus awesome thread below
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    @Suddhus
    Sudharshan Suresh
    @Suddhus
    Nov 13, 2024
    For robot dexterity, a missing piece is general, robust perception. Our new @SciRobotics work combines multimodal sensing with neural representations to perceive novel objects in-hand. 🎲 Featured on the cover of the November issue! #ScienceRoboticsResearch 🧵1/9
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