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Masataro Asai
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2020 – today
- 2024
- [c16]Stephen Wissow, Masataro Asai:
Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. ECAI 2024: 4216-4223 - [c15]Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernández-Olivares:
On Using Admissible Bounds for Learning Forward Search Heuristics. IJCAI 2024: 6761-6769 - [c14]Masataro Asai, Stephen Wissow:
Extreme Value Monte Carlo Tree Search (Extended Abstract). SOCS 2024: 257-258 - [i16]Masataro Asai, Stephen Wissow:
Extreme Value Monte Carlo Tree Search. CoRR abs/2405.18248 (2024) - 2023
- [i15]Masataro Asai:
Analytical Conjugate Priors for Subclasses of Generalized Pareto Distributions. CoRR abs/2303.12199 (2023) - [i14]Stephen Wissow, Masataro Asai:
Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. CoRR abs/2305.09840 (2023) - [i13]Carlos Núñez-Molina, Masataro Asai:
Utilizing Admissible Bounds for Heuristic Learning. CoRR abs/2308.11905 (2023) - 2022
- [j2]Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Classical Planning in Deep Latent Space. J. Artif. Intell. Res. 74: 1599-1686 (2022) - [c13]Benjamin J. Ayton, Masataro Asai:
Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari. ICAPS 2022: 547-555 - [c12]Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz:
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS 2022: 588-596 - [i12]Masataro Asai:
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics. CoRR abs/2209.04049 (2022) - 2021
- [p1]Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Symbolic Reasoning in Latent Space: Classical Planning as an Example. Neuro-Symbolic Artificial Intelligence 2021: 52-77 - [i11]Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Classical Planning in Deep Latent Space. CoRR abs/2107.00110 (2021) - [i10]Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz:
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR abs/2109.14830 (2021) - [i9]Benjamin J. Ayton, Masataro Asai:
Width-Based Planning and Active Learning for Atari. CoRR abs/2109.15310 (2021) - 2020
- [c11]Masataro Asai, Christian Muise:
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). IJCAI 2020: 2676-2682 - [i8]Masataro Asai, Christian Muise:
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). CoRR abs/2004.12850 (2020) - [i7]Masataro Asai, Zilu Tang:
Discrete Word Embedding for Logical Natural Language Understanding. CoRR abs/2008.11649 (2020)
2010 – 2019
- 2019
- [c10]Masataro Asai:
Unsupervised Grounding of Plannable First-Order Logic Representation from Images. ICAPS 2019: 583-591 - [c9]Masataro Asai, Hiroshi Kajino:
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. ICAPS 2019: 592-600 - [i6]Masataro Asai:
Unsupervised Grounding of Plannable First-Order Logic Representation from Images. CoRR abs/1902.08093 (2019) - [i5]Masataro Asai, Hiroshi Kajino:
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. CoRR abs/1903.11277 (2019) - [i4]Masataro Asai:
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS. CoRR abs/1912.05492 (2019) - 2018
- [c8]Masataro Asai, Alex Fukunaga:
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. AAAI 2018: 6094-6101 - [i3]Masataro Asai:
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions. CoRR abs/1812.01217 (2018) - [i2]Masataro Asai:
Photo-Realistic Blocksworld Dataset. CoRR abs/1812.01818 (2018) - 2017
- [j1]Masataro Asai, Alex Fukunaga:
Tie-Breaking Strategies for Cost-Optimal Best First Search. J. Artif. Intell. Res. 58: 67-121 (2017) - [c7]Masataro Asai, Alex Fukunaga:
Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract). AAAI 2017: 4903-4904 - [c6]Masataro Asai, Alex Fukunaga:
Exploration among and within Plateaus in Greedy Best-First Search. ICAPS 2017: 11-19 - [c5]Masataro Asai, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, Spyros Kotoulas:
Efficient Optimal Search under Expensive Edge Cost Computation. IJCAI 2017: 4266-4272 - [c4]Masataro Asai, Alex Fukunaga:
Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back). NeSy 2017 - [i1]Masataro Asai, Alex Fukunaga:
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. CoRR abs/1705.00154 (2017) - 2016
- [c3]Masataro Asai, Alex S. Fukunaga:
Tiebreaking Strategies for A* Search: How to Explore the Final Frontier. AAAI 2016: 673-679 - 2015
- [c2]Masataro Asai, Alex Fukunaga:
Solving Large-Scale Planning Problems by Decomposition and Macro Generation. ICAPS 2015: 16-24 - 2014
- [c1]Masataro Asai, Alex Fukunaga:
Fully Automated Cyclic Planning for Large-Scale Manufacturing Domains. ICAPS 2014
Coauthor Index
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