Masataro Asai
Masataro Asai
Research Staff Member, IBM Research, MIT-IBM Watson AI Lab
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
M Asai, A Fukunaga
AAAI, 6094-6101, 2018
1232018
Unsupervised Grounding of Plannable First-Order Logic Representation from Images
M Asai
Twenty-Ninth International Conference on Automated Planning and Scheduling …, 2019
352019
Tie-breaking strategies for cost-optimal best first search
M Asai, A Fukunaga
Journal of Artificial Intelligence Research 58, 67-121, 2017
222017
Tiebreaking strategies for A* search: How to explore the final frontier
M Asai, A Fukunaga
AAAI, 673--679, 2016
19*2016
Solving large-scale planning problems by decomposition and macro generation
M Asai, A Fukunaga
Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015
192015
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
M Asai, C Muise
IJCAI, 2020
152020
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
M Asai, H Kajino
Twenty-Ninth International Conference on Automated Planning and Scheduling …, 2019
132019
Exploration among and within plateaus in greedy best-first search
M Asai, A Fukunaga
Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
132017
Fully automated cyclic planning for large-scale manufacturing domains
M Asai, A Fukunaga
Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014
82014
Photo-realistic blocksworld dataset
M Asai
arXiv preprint arXiv:1812.01818, 2018
52018
Discrete Word Embedding for Logical Natural Language Understanding
M Asai, Z Tang
arXiv preprint arXiv:2008.11649, 2020
22020
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
M Asai
arXiv preprint arXiv:1912.05492, 2019
22019
Classical Planning in Deep Latent Space
M Asai, H Kajino, A Fukunaga, C Muise
arXiv preprint arXiv:2107.00110, 2021
12021
Width-Based Planning and Active Learning for Atari
B Ayton, M Asai
arXiv preprint arXiv:2109.15310, 2021
2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
C Gehring, M Asai, R Chitnis, T Silver, LP Kaelbling, S Sohrabi, M Katz
arXiv preprint arXiv:2109.14830, 2021
2021
Discovering higher-level actions from expert's action demonstration
M Tatsubori, RE Fall III, DJR Agravante, M Asai, A Munawar
US Patent App. 16/419,183, 2020
2020
Permutation-invariant optimization metrics for neural networks
M Asai
US Patent App. 16/366,678, 2020
2020
Generating Plannable Lifted Action Models for Visually Generated Logical Predicates
M Asai
2020
Discrete feature representation with class priority
M Asai
US Patent App. 16/290,250, 2020
2020
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions
M Asai
arXiv preprint arXiv:1812.01217, 2018
2018
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