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Unsupervised Grounding of Plannable First-Order Logic Representation
  from Images
v1v2v3v4 (latest)

Unsupervised Grounding of Plannable First-Order Logic Representation from Images

21 February 2019
Masataro Asai
    NAI
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Grounding of Plannable First-Order Logic Representation from Images"

32 / 32 papers shown
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill LearningIEEE International Conference on Robotics and Automation (ICRA), 2025
Leon Keller
Daniel Tanneberg
Jan Peters
381
6
0
27 Mar 2025
Bilevel Learning for Bilevel Planning
Bilevel Learning for Bilevel Planning
Bowen Li
Tom Silver
Sebastian A. Scherer
Alexander G. Gray
741
9
0
12 Feb 2025
Synthesizing Evolving Symbolic Representations for Autonomous Systems
Synthesizing Evolving Symbolic Representations for Autonomous SystemsProgress in Artificial Intelligence (PAI), 2024
Gabriele Sartor
A. Oddi
R. Rasconi
V. Santucci
Rosa Meo
195
0
0
18 Sep 2024
Learning Abstract World Model for Value-preserving Planning with Options
Learning Abstract World Model for Value-preserving Planning with Options
Rafael Rodríguez-Sánchez
George Konidaris
358
4
0
22 Jun 2024
InterPreT: Interactive Predicate Learning from Language Feedback for
  Generalizable Task Planning
InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning
Muzhi Han
Yifeng Zhu
Song-Chun Zhu
Yingnian Wu
Yuke Zhu
273
54
0
30 May 2024
Natural Language-conditioned Reinforcement Learning with Inside-out Task
  Language Development and Translation
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Jing-Cheng Pang
Xinyi Yang
Sibei Yang
Yang Yu
307
11
0
18 Feb 2023
Planning for Learning Object Properties
Planning for Learning Object PropertiesAAAI Conference on Artificial Intelligence (AAAI), 2023
Leonardo Lamanna
Luciano Serafini
Mohamadreza Faridghasemnia
A. Saffiotti
A. Saetti
Alfonso Gerevini
P. Traverso
366
10
0
15 Jan 2023
Learning Visual Planning Models from Partially Observed Images
Learning Visual Planning Models from Partially Observed Images
Kebing Jin
Zhanhao Xiao
Hankui Zhuo
Hai Wan
Jiaran Cai
157
0
0
25 Nov 2022
Learning Generalized Policies Without Supervision Using GNNs
Learning Generalized Policies Without Supervision Using GNNsInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2022
Simon Ståhlberg
Blai Bonet
Hector Geffner
OffRL
228
39
0
12 May 2022
Learning First-Order Symbolic Planning Representations That Are Grounded
Learning First-Order Symbolic Planning Representations That Are Grounded
Andrés Occhipinti Liberman
Blai Bonet
Hector Geffner
NAI
204
8
0
25 Apr 2022
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned
  Abstract Representations
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract RepresentationsInternational Symposium of Robotics Research (ISRR), 2022
Adam Pacheck
Steven D. James
George Konidaris
H. Kress-Gazit
107
8
0
18 Apr 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation
Online Learning of Reusable Abstract Models for Object Goal NavigationComputer Vision and Pattern Recognition (CVPR), 2022
Tommaso Campari
Leonardo Lamanna
P. Traverso
Luciano Serafini
Lamberto Ballan
EgoV
221
24
0
04 Mar 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic
  Agents
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
Ahmed Akakzia
Olivier Serris
Olivier Sigaud
Cédric Colas
202
6
0
10 Feb 2022
From Machine Learning to Robotics: Challenges and Opportunities for
  Embodied Intelligence
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy
Ingmar Posner
Timothy D. Barfoot
Philippe Beaudoin
Yoshua Bengio
...
S. Schaal
Gaurav Sukhatme
D. Thérien
Marc Toussaint
M. van de Panne
369
92
0
28 Oct 2021
Learning General Optimal Policies with Graph Neural Networks: Expressive
  Power, Transparency, and Limits
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits
Simon Ståhlberg
Blai Bonet
Hector Geffner
292
67
0
21 Sep 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Hector Geffner
258
6
0
15 Sep 2021
Classical Planning in Deep Latent Space
Classical Planning in Deep Latent SpaceJournal of Artificial Intelligence Research (JAIR), 2021
Masataro Asai
Hiroshi Kajino
A. Fukunaga
Christian Muise
VLM
525
30
0
30 Jun 2021
pix2rule: End-to-end Neuro-symbolic Rule Learning
pix2rule: End-to-end Neuro-symbolic Rule LearningInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2021
Nuri Cingillioglu
A. Russo
NAI
321
12
0
14 Jun 2021
Eye of the Beholder: Improved Relation Generalization for Text-based
  Reinforcement Learning Agents
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning AgentsAAAI Conference on Artificial Intelligence (AAAI), 2021
K. Murugesan
Subhajit Chaudhury
Kartik Talamadupula
297
5
0
09 Jun 2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel
  Planning
Learning Neuro-Symbolic Relational Transition Models for Bilevel PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Rohan Chitnis
Tom Silver
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
400
71
0
28 May 2021
Learning First-Order Representations for Planning from Black-Box States:
  New Results
Learning First-Order Representations for Planning from Black-Box States: New ResultsInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2021
I. D. Rodriguez
Blai Bonet
J. Romero
Hector Geffner
NAI
282
29
0
23 May 2021
Expressing and Exploiting the Common Subgoal Structure of Classical
  Planning Domains Using Sketches: Extended Version
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended VersionInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2021
Dominik Drexler
Jendrik Seipp
Hector Geffner
222
17
0
10 May 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a
  taxonomy, patterns and use cases
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
M. V. Bekkum
M. D. Boer
F. V. Harmelen
André Meyer-Vitali
A. T. Teije
269
103
0
23 Feb 2021
Discrete Word Embedding for Logical Natural Language Understanding
Discrete Word Embedding for Logical Natural Language Understanding
Masataro Asai
Zilu Tang
215
3
0
26 Aug 2020
Evaluating the Apperception Engine
Evaluating the Apperception Engine
Richard Evans
Jose Hernandez-Orallo
Johannes Welbl
Pushmeet Kohli
Marek Sergot
200
6
0
09 Jul 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
Hallucinative Topological Memory for Zero-Shot Visual PlanningInternational Conference on Machine Learning (ICML), 2020
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
187
49
0
27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under
  Actions
Plannable Approximations to MDP Homomorphisms: Equivariance under ActionsAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Elise van der Pol
Thomas Kipf
F. Oliehoek
Max Welling
265
88
0
27 Feb 2020
Neural-Symbolic Descriptive Action Model from Images: The Search for
  STRIPS
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
Masataro Asai
223
4
0
11 Dec 2019
Making sense of sensory input
Making sense of sensory inputArtificial Intelligence (AI), 2019
Maciej Wołczyk
Jacek Tabor
Johannes Welbl
Szymon Maszke
Marek Sergot
446
55
0
05 Oct 2019
Learning First-Order Symbolic Representations for Planning from the
  Structure of the State Space
Learning First-Order Symbolic Representations for Planning from the Structure of the State SpaceEuropean Conference on Artificial Intelligence (ECAI), 2019
Blai Bonet
Hector Geffner
NAI
311
61
0
12 Sep 2019
Disentangled Relational Representations for Explaining and Learning from
  Demonstration
Disentangled Relational Representations for Explaining and Learning from DemonstrationConference on Robot Learning (CoRL), 2019
Yordan V. Hristov
Daniel Angelov
Michael G. Burke
A. Lascarides
S. Ramamoorthy
DRL
283
26
0
31 Jul 2019
An Explicitly Relational Neural Network Architecture
An Explicitly Relational Neural Network ArchitectureInternational Conference on Machine Learning (ICML), 2019
Murray Shanahan
Kyriacos Nikiforou
Antonia Creswell
Christos Kaplanis
David Barrett
M. Garnelo
NAI3DVGAN
392
72
0
24 May 2019
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