Learning Efficient Abstract Planning Models that Choose What to Predict

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Learning Efficient Abstract Planning Models that Choose What to Predict

16 August 2022

Willie McClinton

Tomás Lozano-Pérez

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Papers citing "Learning Efficient Abstract Planning Models that Choose What to Predict"

17 / 17 papers shown

Title
Situationally-Aware Dynamics Learning Alejandro Murillo-Gonzalez Lantao Liu 105 0 0 26 May 2025
One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration Jinbang Huang Yixin Xiao Zhanguang Zhang Mark Coates Jianye Hao Yingxue Zhang LM&Ro LRM 54 0 0 23 May 2025
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 232 2 0 12 Feb 2025
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints Nishanth Kumar F. Ramos Dieter Fox Caelan Reed Garrett Tomás Lozano-Pérez Leslie Pack Kaelbling Caelan Reed Garrett LRM LM&Ro 99 5 0 13 Nov 2024
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 77 1 0 21 Oct 2024
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 86 66 0 21 Jun 2022
Predicate Invention for Bilevel Planning Tom Silver Rohan Chitnis Nishanth Kumar Willie McClinton Tomás Lozano-Pérez L. Kaelbling J. Tenenbaum 178 42 0 17 Mar 2022
Integrated Task and Motion Planning Caelan Reed Garrett Rohan Chitnis Rachel Holladay Beomjoon Kim Tom Silver L. Kaelbling Tomás Lozano-Pérez 100 501 0 02 Oct 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 46 100 0 09 Jun 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 79 108 0 08 Jun 2020
Learning First-Order Symbolic Representations for Planning from the Structure of the State Space Blai Bonet Hector Geffner NAI 41 53 0 12 Sep 2019
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 71 180 0 24 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 761 3,121 0 04 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 382 441 0 01 Dec 2016
Learning STRIPS Operators from Noisy and Incomplete Observations Kira Mourão Luke S. Zettlemoyer Ronald P. A. Petrick Mark Steedman OffRL 112 110 0 16 Oct 2012
Learning Symbolic Models of Stochastic Domains L. Kaelbling H. Pasula L. S. Zettlemoyer 111 241 0 10 Oct 2011
The Fast Downward Planning System M. Helmert 83 1,901 0 27 Sep 2011