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Active Learning of Abstract Plan Feasibility

Active Learning of Abstract Plan Feasibility

1 July 2021
Michael Noseworthy
Caris Moses
Isa Brand
Sebastian Castro
L. Kaelbling
Tomás Lozano-Pérez
Nicholas Roy
ArXivPDFHTML

Papers citing "Active Learning of Abstract Plan Feasibility"

8 / 8 papers shown
Title
Task and Motion Planning for Execution in the Real
Task and Motion Planning for Execution in the Real
Tianyang Pan
Rahul Shome
Lydia E. Kavraki
63
2
0
05 Jun 2024
LLM3:Large Language Model-based Task and Motion Planning with Motion
  Failure Reasoning
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning
Shu Wang
Muzhi Han
Ziyuan Jiao
Zeyu Zhang
Yingnian Wu
Song-Chun Zhu
Hangxin Liu
LRM
35
33
0
18 Mar 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies
Practice Makes Perfect: Planning to Learn Skill Parameter Policies
Nishanth Kumar
Tom Silver
Willie McClinton
Linfeng Zhao
Stephen Proulx
Tomás Lozano-Pérez
L. Kaelbling
Jennifer Barry
64
19
0
22 Feb 2024
Learning Efficient Abstract Planning Models that Choose What to Predict
Learning Efficient Abstract Planning Models that Choose What to Predict
Nishanth Kumar
Willie McClinton
Rohan Chitnis
Tom Silver
Tomás Lozano-Pérez
L. Kaelbling
37
18
0
16 Aug 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
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
250
439
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
283
1,401
0
01 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
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