Discovering State and Action Abstractions for Generalized Task and
Motion Planning

Discovering State and Action Abstractions for Generalized Task and Motion Planning

23 September 2021

Tomas Lozano-Perez

Papers citing "Discovering State and Action Abstractions for Generalized Task and Motion Planning"

16 / 16 papers shown

Title
Cognitive maps are generative programs Marta Kryven Cole Wyeth Aidan Curtis Kevin Ellis 46 0 0 29 Apr 2025
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning Leon Keller Daniel Tanneberg Jan Peters 54 0 0 27 Mar 2025
Limits of specifiability for sensor-based robotic planning tasks Basak Sakcak Dylan A. Shell J. O’Kane 41 0 0 07 Mar 2025
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 78 1 0 12 Feb 2025
Relational decomposition for program synthesis Céline Hocquette Andrew Cropper 42 4 0 22 Aug 2024
Anticipatory Task and Motion Planning Roshan Dhakal Duc M. Nguyen Tom Silver Xuesu Xiao Gregory J. Stein 29 1 0 18 Jul 2024
InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning Muzhi Han Yifeng Zhu Song-Chun Zhu Yingnian Wu Yuke Zhu 32 21 0 30 May 2024
Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material) Magí Dalmau-Moreno Néstor García Vicencc Gómez Héctor Geffner 20 1 0 24 Mar 2024
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness Aidan Curtis George Matheos Nishad Gothoskar Vikash K. Mansinghka Joshua Tenenbaum Tomás Lozano-Pérez L. Kaelbling 24 9 0 15 Mar 2024
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 32 16 0 13 Jul 2023
Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures Zhen Yue Bi Sheng Xing-tong Lu Wei-qin Pan Hai-peng Shi Zi-Yuan Chen Yi-shu Fang LLMAG LM&Ro 31 8 0 08 Jun 2023
Text2Motion: From Natural Language Instructions to Feasible Plans Kevin Qinghong Lin Christopher Agia Toki Migimatsu Marco Pavone Jeannette Bohg LM&Ro 23 266 0 21 Mar 2023
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 32 18 0 16 Aug 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
Predicate Invention for Bilevel Planning Tom Silver Rohan Chitnis Nishanth Kumar Willie McClinton Tomas Lozano-Perez L. Kaelbling J. Tenenbaum 23 39 0 17 Mar 2022
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 307 0 25 Dec 2020