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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

Fri Dec 11 09:45 AM -- 10:00 AM (PST) @ None
in Deep Reinforcement Learning »

Author Information

OpenAI Robotics
Matthias Plappert
Raul Sampedro
Tao Xu 
Ilge Akkaya (OpenAI)
Vineet Kosaraju
Peter Welinder (OpenAI)
Ruben D'Sa
Arthur Petron (OpenAI)
Henrique Ponde
Alex Paino
Hyeonwoo Noh  Noh 
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/.

Qiming Yuan
Casey Chu 
Wojciech Zaremba (OpenAI)

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