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  4. Cited By
Classical Planning in Deep Latent Space: Bridging the
  Subsymbolic-Symbolic Boundary
v1v2v3 (latest)

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

29 April 2017
Masataro Asai
A. Fukunaga
ArXiv (abs)PDFHTML

Papers citing "Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary"

50 / 105 papers shown
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
242
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
277
67
0
28 May 2021
Neuro-Symbolic Artificial Intelligence: Current Trends
Neuro-Symbolic Artificial Intelligence: Current TrendsAI Communications (AI Commun.), 2021
Md Kamruzzaman Sarker
Lu Zhou
Aaron Eberhart
Pascal Hitzler
NAI
273
121
0
11 May 2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization
Neuro-algorithmic Policies enable Fast Combinatorial GeneralizationInternational Conference on Machine Learning (ICML), 2021
Marin Vlastelica
Michal Rolínek
Georg Martius
173
17
0
15 Feb 2021
SPOTTER: Extending Symbolic Planning Operators through Targeted
  Reinforcement Learning
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Vasanth Sarathy
Daniel Kasenberg
Shivam Goel
Jivko Sinapov
matthias. scheutz
OffRL
167
36
0
24 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations
Planning from Pixels in Atari with Learned Symbolic RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2020
Andrea Dittadi
Frederik K. Drachmann
Thomas Bolander
347
11
0
16 Dec 2020
Online Action Recognition
Online Action RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020
Alejandro Suárez-Hernández
Javier Segovia Aguas
Carme Torras
Guillem Alenyà
OffRL
263
9
0
14 Dec 2020
ALFWorld: Aligning Text and Embodied Environments for Interactive
  Learning
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar
Xingdi Yuan
Marc-Alexandre Côté
Yonatan Bisk
Adam Trischler
Matthew J. Hausknecht
LM&RoLLMAG
415
635
0
08 Oct 2020
Discrete Word Embedding for Logical Natural Language Understanding
Discrete Word Embedding for Logical Natural Language Understanding
Masataro Asai
Zilu Tang
150
3
0
26 Aug 2020
Evaluating the Apperception Engine
Evaluating the Apperception Engine
Richard Evans
Jose Hernandez-Orallo
Johannes Welbl
Pushmeet Kohli
Marek Sergot
174
5
0
09 Jul 2020
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space
  Priors: The Voyage Home (to STRIPS)
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)International Joint Conference on Artificial Intelligence (IJCAI), 2020
Masataro Asai
Christian Muise
204
10
0
27 Apr 2020
Planning with Brain-inspired AI
Planning with Brain-inspired AI
Naoya Arakawa
AI4CE
60
0
0
25 Mar 2020
Imagination-Augmented Deep Learning for Goal Recognition
Imagination-Augmented Deep Learning for Goal Recognition
T. Duhamel
Mariane Maynard
F. Kabanza
67
0
0
20 Mar 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
164
49
0
27 Feb 2020
STRIPS Action Discovery
STRIPS Action Discovery
Alejandro Suárez-Hernández
Javier Segovia Aguas
Carme Torras
Guillem Alenyà
227
12
0
30 Jan 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
148
4
0
11 Dec 2019
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday
  Tasks
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday TasksComputer Vision and Pattern Recognition (CVPR), 2019
Mohit Shridhar
Jesse Thomason
Daniel Gordon
Yonatan Bisk
Winson Han
Roozbeh Mottaghi
Luke Zettlemoyer
Dieter Fox
LM&Ro
412
942
0
03 Dec 2019
Learning Domain-Independent Planning Heuristics with Hypergraph Networks
Learning Domain-Independent Planning Heuristics with Hypergraph NetworksInternational Conference on Automated Planning and Scheduling (ICAPS), 2019
William Shen
Felipe W. Trevizan
Sylvie Thiébaux
193
97
0
29 Nov 2019
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain
  Spatial Features
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
T. Duhamel
Mariane Maynard
F. Kabanza
80
1
0
22 Nov 2019
Cost-Based Goal Recognition Meets Deep Learning
Cost-Based Goal Recognition Meets Deep Learning
Mariane Maynard
T. Duhamel
F. Kabanza
195
7
0
22 Nov 2019
Making sense of sensory input
Making sense of sensory inputArtificial Intelligence (AI), 2019
Maciej Wołczyk
Jacek Tabor
Johannes Welbl
Szymon Maszke
Marek Sergot
363
54
0
05 Oct 2019
Regression Planning Networks
Regression Planning NetworksNeural Information Processing Systems (NeurIPS), 2019
Danfei Xu
Roberto Martín-Martín
De-An Huang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
181
65
0
28 Sep 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
227
59
0
12 Sep 2019
Learning Action Models from Disordered and Noisy Plan Traces
Learning Action Models from Disordered and Noisy Plan Traces
Hankui Zhuo
Jing Peng
S. Kambhampati
267
11
0
26 Aug 2019
ASNets: Deep Learning for Generalised Planning
ASNets: Deep Learning for Generalised PlanningJournal of Artificial Intelligence Research (JAIR), 2019
Sam Toyer
Felipe W. Trevizan
Sylvie Thiébaux
Lexing Xie
PINN
232
83
0
04 Aug 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
237
25
0
31 Jul 2019
Representation Learning for Classical Planning from Partially Observed
  Traces
Representation Learning for Classical Planning from Partially Observed Traces
Zhanhao Xiao
Hai Wan
Hankui Zhuo
Jinxia Lin
Yanan Liu
209
6
0
19 Jul 2019
Learning Robotic Manipulation through Visual Planning and Acting
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang
Thanard Kurutach
Kara Liu
Pieter Abbeel
Aviv Tamar
127
118
0
11 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models
Deep Neuroevolution of Recurrent and Discrete World ModelsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2019
S. Risi
Kenneth O. Stanley
OCL
209
55
0
28 Apr 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Masataro Asai
Hiroshi Kajino
173
15
0
27 Mar 2019
Incremental Learning of Discrete Planning Domains from Continuous
  Perceptions
Incremental Learning of Discrete Planning Domains from Continuous Perceptions
Luciano Serafini
P. Traverso
255
4
0
14 Mar 2019
Joint Perception and Control as Inference with an Object-based
  Implementation
Joint Perception and Control as Inference with an Object-based Implementation
Minne Li
Zheng Tian
Pranav Nashikkar
Ian Davies
Ying Wen
Jun Wang
266
2
0
04 Mar 2019
Learning STRIPS Action Models with Classical Planning
Learning STRIPS Action Models with Classical PlanningInternational Conference on Automated Planning and Scheduling (ICAPS), 2018
Diego Aineto
Sergio Jiménez
Eva Onaindia
91
59
0
04 Mar 2019
Unsupervised Grounding of Plannable First-Order Logic Representation
  from Images
Unsupervised Grounding of Plannable First-Order Logic Representation from Images
Masataro Asai
NAI
275
59
0
21 Feb 2019
Photo-Realistic Blocksworld Dataset
Photo-Realistic Blocksworld Dataset
Masataro Asai
110
12
0
05 Dec 2018
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function
  for Probability Distributions
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions
Masataro Asai
126
3
0
04 Dec 2018
Reasoning over RDF Knowledge Bases using Deep Learning
Reasoning over RDF Knowledge Bases using Deep Learning
Monireh Ebrahimi
Md Kamruzzaman Sarker
Federico Bianchi
Ning Xie
Derek Doran
Pascal Hitzler
ReLMLRM
150
20
0
09 Nov 2018
Incremental learning abstract discrete planning domains and mappings to
  continuous perceptions
Incremental learning abstract discrete planning domains and mappings to continuous perceptions
Luciano Serafini
P. Traverso
CLL
165
2
0
16 Oct 2018
LSTM-Based Goal Recognition in Latent Space
LSTM-Based Goal Recognition in Latent Space
L. Amado
João Paulo Aires
Ramon Fraga Pereira
M. Magnaguagno
R. Granada
Felipe Meneguzzi
81
22
0
15 Aug 2018
Discovering Underlying Plans Based on Shallow Models
Discovering Underlying Plans Based on Shallow Models
Hankui Zhuo
Yantian Zha
S. Kambhampati
151
23
0
04 Mar 2018
Planning with Pixels in (Almost) Real Time
Planning with Pixels in (Almost) Real Time
Wilmer Bandres
Blai Bonet
Hector Geffner
95
22
0
10 Jan 2018
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
1.1K
5,904
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
624
2,698
0
02 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
1.4K
9,847
0
10 Jun 2016
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
432
2,335
0
18 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
2.3K
69,240
0
04 Jun 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
568
2,678
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
1.5K
45,665
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.7K
161,218
0
22 Dec 2014
A* Sampling
A* Sampling
Chris J. Maddison
Daniel Tarlow
T. Minka
366
415
0
31 Oct 2014
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