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Sherry Yang

@sherryyangML • 4,840 subscribers

Staff Research Scientist @GoogleDeepMind; Assistant Professor @NYU_Courant. Previously Post-Doc @Stanford, PhD @UCBerkeley, M.Eng. / B.S. @MIT.

Shorts

Evaluating policies on a real robot can be painful. Can we use a world model to get a rough estimate of how good a policy is? Checkout "Evaluating Robot Policies in a World Model". Paper: Demo: Code:

Evaluating policies on a real robot can be painful. Can we use a world model to get a rough estimate of how good a policy is? Checkout "Evaluating Robot Policies in a World Model". Paper: Demo: Code:

37,028 次观看

Excited to share CrystalReasoner, a reasoning model for crystal structure generation with LLMs and property-conditioned generation through RL: Website: Paper: Code:

Excited to share CrystalReasoner, a reasoning model for crystal structure generation with LLMs and property-conditioned generation through RL: Website: Paper: Code:

11,531 次观看

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Introducing Universal Simulator (UniSim), an interactive simulator of the real world. Interactive website: Paper:

Introducing Universal Simulator (UniSim), an interactive simulator of the real world. Interactive website: Paper:

440,007 次观看 • 3 年前

Robotics researchers in academia including myself might be having a bit of an existential crisis watching systems like Astra get better so fast. But academia has an unusual advantage: robots doing real science in physical labs. That's why I'm excited about WetRobo 🧬🤖, where coding agents observe a wet lab, write + execute robot programs, and adapt through physical trial and error. Paper: Code:

Robotics researchers in academia including myself might be having a bit of an existential crisis watching systems like Astra get better so fast. But academia has an unusual advantage: robots doing real science in physical labs. That's why I'm excited about WetRobo 🧬🤖, where coding agents observe a wet lab, write + execute robot programs, and adapt through physical trial and error. Paper: Code:

14,377 次观看 • 1 个月前

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