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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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Program Synthesis with Pragmatic Communication


Jul 09, 2020
Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama

* The second author and the third author contributed equally to this work 

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Write, Execute, Assess: Program Synthesis with a REPL


Jun 09, 2019
Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama

* The first four authors contributed equally to this work 

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Few-Shot Bayesian Imitation Learning with Logic over Programs


Apr 12, 2019
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum


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Residual Policy Learning


Jan 03, 2019
Tom Silver, Kelsey Allen, Josh Tenenbaum, Leslie Kaelbling


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At Human Speed: Deep Reinforcement Learning with Action Delay


Oct 16, 2018
Vlad Firoiu, Tina Ju, Josh Tenenbaum


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Logical Rule Induction and Theory Learning Using Neural Theorem Proving


Sep 12, 2018
Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel


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