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Planning with Learned Object Importance in Large Problem Instances using
  Graph Neural Networks

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

11 September 2020
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
    GNN
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Papers citing "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks"

12 / 12 papers shown
Title
Automated Planning Domain Inference for Task and Motion Planning
Automated Planning Domain Inference for Task and Motion Planning
Jinbang Huang
Allen Tao
Rozilyn Marco
Miroslav Bogdanovic
Jonathan Kelly
Florian Shkurti
41
1
0
21 Oct 2024
Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning
Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning
Wenjun Li
Changyu Chen
Pradeep Varakantham
54
2
0
15 Jun 2024
COAST: Constraints and Streams for Task and Motion Planning
COAST: Constraints and Streams for Task and Motion Planning
Brandon Vu
Toki Migimatsu
Jeannette Bohg
39
6
0
14 May 2024
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft
  Worlds
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds
William Hill
Ireton Liu
Anita De Mello Koch
Damion Harvey
Nishanth Kumar
George Konidaris
Steven D. James
LM&Ro
37
0
0
20 Dec 2023
Learning Feasibility of Factored Nonlinear Programs in Robotic
  Manipulation Planning
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz de Haro
Jung-Su Ha
Danny Driess
E. Karpas
Marc Toussaint
32
2
0
22 Oct 2022
ToolTango: Common sense Generalization in Predicting Sequential Tool
  Interactions for Robot Plan Synthesis
ToolTango: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis
Shreshth Tuli
Rajas Bansal
Rohan Paul
Mausam
LM&Ro
23
4
0
18 Jun 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An
  application to 3D robot assembly discovery
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
Niklas Funk
Svenja Menzenbach
Georgia Chalvatzaki
Jan Peters
39
13
0
08 Mar 2022
Learning to Search in Task and Motion Planning with Streams
Learning to Search in Task and Motion Planning with Streams
M. Khodeir
Ben Agro
Florian Shkurti
35
26
0
25 Nov 2021
Discovering State and Action Abstractions for Generalized Task and
  Motion Planning
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Aidan Curtis
Tom Silver
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
56
27
0
23 Sep 2021
Efficient and Interpretable Robot Manipulation with Graph Neural
  Networks
Efficient and Interpretable Robot Manipulation with Graph Neural Networks
Yixin Lin
Austin S. Wang
Eric Undersander
Akshara Rai
LM&Ro
105
44
0
25 Feb 2021
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon
  Manipulation in Dynamic Environments
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments
Zhigen Zhao
Ziyi Zhou
Michael Park
Ye Zhao
16
13
0
21 Oct 2020
PDDLGym: Gym Environments from PDDL Problems
PDDLGym: Gym Environments from PDDL Problems
Tom Silver
Rohan Chitnis
AI4CE
25
56
0
15 Feb 2020
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