ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.00210
  4. Cited By
Online Planner Selection with Graph Neural Networks and Adaptive
  Scheduling
v1v2v3v4 (latest)

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling

1 November 2018
Tengfei Ma
Patrick Ferber
Siyu Huo
Jie Chen
Michael Katz
ArXiv (abs)PDFHTMLGithub (35★)

Papers citing "Online Planner Selection with Graph Neural Networks and Adaptive Scheduling"

13 / 13 papers shown
Title
Graph Learning for Numeric Planning
Graph Learning for Numeric Planning
Dillon Z. Chen
Sylvie Thiébaux
116
0
0
08 Jan 2025
Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric
  Planning
Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning
Dillon Z. Chen
Sylvie Thiébaux
34
1
0
08 Apr 2024
Choosing a Classical Planner with Graph Neural Networks
Choosing a Classical Planner with Graph Neural Networks
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
Horst Samulowitz
Michael Katz
42
0
0
25 Jan 2024
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
Dillon Z. Chen
Sylvie Thiébaux
Felipe W. Trevizan
AI4CE
116
17
0
18 Dec 2023
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot
  Teams via Recurrent Neural Schedule Propagation
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation
Batuhan Altundas
Zheyuan Wang
Joshua Bishop
Matthew C. Gombolay
53
6
0
30 Jan 2023
Solving Disjunctive Temporal Networks with Uncertainty under Restricted
  Time-Based Controllability using Tree Search and Graph Neural Networks
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
Kevin Osanlou
J. Frank
Andrei Bursuc
Tristan Cazenave
Éric Jacopin
Christophe Guettier
J. Benton
AI4CE
66
2
0
28 Mar 2022
Reinforcement Learning for Classical Planning: Viewing Heuristics as
  Dense Reward Generators
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Clement Gehring
Masataro Asai
Rohan Chitnis
Tom Silver
L. Kaelbling
Shirin Sohrabi
Michael Katz
OffRL
84
38
0
30 Sep 2021
Meta-Reinforcement Learning for Heuristic Planning
Meta-Reinforcement Learning for Heuristic Planning
Ricardo Luna Gutierrez
Matteo Leonetti
OffRLAIFin
51
4
0
06 Jul 2021
Directed Acyclic Graph Neural Networks
Directed Acyclic Graph Neural Networks
Veronika Thost
Jie Chen
GNNAI4CE
116
109
0
20 Jan 2021
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
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
GNN
93
80
0
11 Sep 2020
Learning Heuristic Selection with Dynamic Algorithm Configuration
Learning Heuristic Selection with Dynamic Algorithm Configuration
David Speck
André Biedenkapp
Frank Hutter
Robert Mattmüller
Marius Lindauer
92
29
0
15 Jun 2020
Unsupervised Learning of Graph Hierarchical Abstractions with
  Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Tengfei Ma
Jie Chen
71
25
0
24 Dec 2019
Learning Domain-Independent Planning Heuristics with Hypergraph Networks
Learning Domain-Independent Planning Heuristics with Hypergraph Networks
William Shen
Felipe W. Trevizan
Sylvie Thiébaux
82
84
0
29 Nov 2019
1