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Josh Tenenbaum

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Learning a Hierarchical Planner from Humans in Multiple Generations

Oct 17, 2023
Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Josh Tenenbaum, Armando Solar-Lezama

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Compositional Foundation Models for Hierarchical Planning

Sep 21, 2023
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal

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Inferring the Future by Imagining the Past

May 26, 2023
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum

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Acting as Inverse Inverse Planning

May 26, 2023
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley

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When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment

Oct 04, 2022
Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf

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Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

Dec 02, 2021
Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum

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Map Induction: Compositional spatial submap learning for efficient exploration in novel environments

Oct 23, 2021
Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete

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Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model

Apr 16, 2021
Matthias Hofer, Tuan Anh Le, Roger Levy, Josh Tenenbaum

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Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling

Oct 25, 2020
Akash Srivastava, Yamini Bansal, Yukun Ding, Cole Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund

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