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Lilian Weng
Mon Dec 06 05:17 PM -- 05:35 PM (PST) @
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Lilian Weng (OpenAI)
Lilian Weng is working at OpenAI over a variety of research and applied projects. In the Robotics team, she worked on several challenging robotic manipulation tasks, including solving a fully scrambled Rubik's cube with a single robot hand, via deep reinforcement learning and sim2real transfer techniques. Currently she leads the Applied AI Research team to use powerful language models to solve real-world applications. Her research interests are quite broad, as she writes about various topics in deep learning in her highly viewed ML blog https://lilianweng.github.io/lil-log/.
More from the Same Authors
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2021 : Techniques and Conclusion »
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2021 Tutorial: Self-Supervised Learning: Self-Prediction and Contrastive Learning »
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2021 : Intro to self-supervised learning »
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2020 : Contributed Talk: Asymmetric self-play for automatic goal discovery in robotic manipulation »
OpenAI Robotics · Matthias Plappert · Raul Sampedro · Tao Xu · Ilge Akkaya · Vineet Kosaraju · Peter Welinder · Ruben D'Sa · Arthur Petron · Henrique Ponde · Alex Paino · Hyeonwoo Noh Noh · Lilian Weng · Qiming Yuan · Casey Chu · Wojciech Zaremba -
2018 : Spotlights & Poster Session »
James A Preiss · Alexander Grishin · Ville Kyrki · Pol Moreno Comellas · Akshay Narayan · Tze-Yun Leong · Yongxi Tan · Lilian Weng · Toshiharu Sugawara · Kenny Young · Tianmin Shu · Jonas Gehring · Ahmad Beirami · Chris Amato · sammie katt · Andrea Baisero · Arseny Kuznetsov · Jan Humplik · Vladimír Petrík