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Patrick Yin
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Patrick Yin

@patrickhyin
phd @uwcse, research @NVIDIA, prev @berkeley_ai @msftresearch @ambirobotics
Seattle, WA
patrickyin.me
Joined June 2023
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    Patrick Yin
    @patrickhyin
    Mar 26
    We’re releasing OmniReset, a framework for training robot policies using large-scale RL and diverse resets for contact-rich, dexterous manipulation. OmniReset pushes the frontier of robustness and dexterity, without any reward engineering or demonstrations. Try the policies
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    Patrick Yin
    @patrickhyin
    Aug 13
    really cool policies!
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    Cornelius Braun
    @corbraun
    Aug 13
    𝗚𝗼𝗼𝗱 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗽𝗼𝗹𝗶𝗰𝗶𝗲𝘀 𝗺𝗮𝘆 𝘀𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗯𝗲𝘁𝘁𝗲𝗿 𝘀𝘁𝗮𝘁𝗲𝘀, 𝗻𝗼𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗿𝗲𝘄𝗮𝗿𝗱𝘀. We sample diverse, physically feasible contact states as starts + goals for RL. The behaviors that emerge are surprisingly dynamic and
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    Patrick Yin
    @patrickhyin
    Feb 13, 2025
    Current RL finetuning methods are too inefficient to make autonomous real world robot learning tractable. We propose Simulation-Guided Fine-Tuning (SGFT) - a simple, general sim2real framework that extracts structured exploration priors from sim to accelerate real world RL. 🧵1/6
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