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Animashree Anandkumar

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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

May 31, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

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Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition

May 18, 2021
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar

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Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects

Dec 22, 2020
Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu

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Fast Uncertainty Quantification for Deep Object Pose Estimation

Nov 16, 2020
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu

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Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces

Nov 11, 2020
Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Daniel G. A. Smith, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III

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Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Oct 05, 2020
Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

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Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning

Oct 02, 2020
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar

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