Animashree Anandkumar

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California Institute of Technology

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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Reinforcement Learning in large action spaces is a challenging problem. ...
05/31/2021 ∙ by Anuj Mahajan, et al. ∙ 33 ∙ share

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

In real-world multiagent systems, agents with different capabilities may...
05/18/2021 ∙ by Bo Liu, et al. ∙ 1 ∙ share

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

Evolution in nature illustrates that the creatures' biological structure...
12/22/2020 ∙ by Xinlei Pan, et al. ∙ 0 ∙ share

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Fast Uncertainty Quantification for Deep Object Pose Estimation

Deep learning-based object pose estimators are often unreliable and over...
11/16/2020 ∙ by Guanya Shi, et al. ∙ 0 ∙ share

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

We refine the OrbNet model to accurately predict energy, forces, and oth...
11/05/2020 ∙ by Zhuoran Qiao, et al. ∙ 1 ∙ share

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

Humans have an inherent ability to learn novel concepts from only a few ...
10/02/2020 ∙ by Weili Nie, et al. ∙ 10 ∙ share

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

We present a hierarchical framework that combines model-based control an...
09/21/2020 ∙ by Xingye Da, et al. ∙ 0 ∙ share

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Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery

Our previous work classified a taxonomy of suturing gestures during a ve...
08/26/2020 ∙ by Francisco Luongo, et al. ∙ 0 ∙ share

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Active Learning under Label Shift

Distribution shift poses a challenge for active data collection in the r...
07/16/2020 ∙ by Eric Zhao, et al. ∙ 18 ∙ share

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OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features

We introduce a machine learning method in which energy solutions from th...
07/15/2020 ∙ by Zhuoran Qiao, et al. ∙ 0 ∙ share

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Causal Discovery in Physical Systems from Videos

Causal discovery is at the core of human cognition. It enables us to rea...
07/01/2020 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

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Convolutional Tensor-Train LSTM for Spatio-temporal Learning

Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
02/21/2020 ∙ by Jiahao Su, et al. ∙ 3 ∙ share

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Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data

In this work, we propose a robust network-in-the-loop control system tha...
12/10/2019 ∙ by Francesca Baldini, et al. ∙ 16 ∙ share

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