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Leslie Pack Kaelbling

Generalized Planning in PDDL Domains with Pretrained Large Language Models

May 18, 2023
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz

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PDSketch: Integrated Planning Domain Programming and Learning

Mar 09, 2023
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

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* NeurIPS 2022. Project page: https://pdsketch.csail.mit.edu

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Sparse and Local Networks for Hypergraph Reasoning

Mar 09, 2023
Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao

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* Learning on Graphs Conference (LoG) 2022. Project page: https://spaloc.csail.mit.edu

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On the Expressiveness and Generalization of Hypergraph Neural Networks

Mar 09, 2023
Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling

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* Learning on Graphs Conference (LoG) 2022

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Learning Rational Subgoals from Demonstrations and Instructions

Mar 09, 2023
Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

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* AAAI 2023. First two authors contributed equally. Project page: https://rsg.csail.mit.edu

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SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

Nov 17, 2022
Anthony Simeonov, Yilun Du, Lin Yen-Chen, Alberto Rodriguez, Leslie Pack Kaelbling, Tomas Lozano-Perez, Pulkit Agrawal

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* CoRL 2022, first two authors contributed equally, website and code: https://anthonysimeonov.github.io/r-ndf/

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Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications

Jun 06, 2022
Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin

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* Presented at the 2022 IEEE International Conference on Robotics and Automation (ICRA) and will appear in the official proceedings

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