Fully Automated Cyclic Planning for Large-Scale Manufacturing Domains. - Masataro Asai; Alex Fukunaga (ICAPS, 2014)

Solving Large-Scale Planning Problems by Decomposition and Macro Generation. - Masataro Asai; Alex Fukunaga (ICAPS, 2015)

Tiebreaking Strategies for A* Search: How to Explore the Final Frontier. - Masataro Asai; Alex S. Fukunaga (AAAI, 2016)

Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract). - Masataro Asai; Alex Fukunaga (AAAI, 2017)

Exploration among and within Plateaus in Greedy Best-First Search. - Masataro Asai; Alex Fukunaga (ICAPS, 2017)

Efficient Optimal Search under Expensive Edge Cost Computation. - Masataro Asai; Akihiro Kishimoto; Adi Botea; Radu Marinescu 002; Elizabeth M. Daly; Spyros Kotoulas (IJCAI, 2017)

Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back). - Masataro Asai; Alex Fukunaga (NeSy, 2017)

Tie-Breaking Strategies for Cost-Optimal Best First Search. - Masataro Asai; Alex Fukunaga (J. Artif. Intell. Res., 2017)

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. - Masataro Asai; Alex Fukunaga (AAAI, 2018)

Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions. - Masataro Asai (CoRR, 2018)

Photo-Realistic Blocksworld Dataset. - Masataro Asai (CoRR, 2018)

Unsupervised Grounding of Plannable First-Order Logic Representation from Images. - Masataro Asai (ICAPS, 2019)

Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. - Masataro Asai; Hiroshi Kajino (ICAPS, 2019)

Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS. - Masataro Asai (CoRR, 2019)

Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). - Masataro Asai; Christian Muise (IJCAI, 2020)

Discrete Word Embedding for Logical Natural Language Understanding. - Masataro Asai; Zilu Tang (CoRR, 2020)

Width-Based Planning and Active Learning for Atari. - Benjamin J. Ayton; Masataro Asai (CoRR, 2021)

Symbolic Reasoning in Latent Space: Classical Planning as an Example. - Masataro Asai; Hiroshi Kajino; Alex Fukunaga; Christian Muise (Neuro-Symbolic Artificial Intelligence, 2021)

Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari. - Benjamin J. Ayton; Masataro Asai (ICAPS, 2022)

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. - Clement Gehring; Masataro Asai; Rohan Chitnis; Tom Silver; Leslie Pack Kaelbling; Shirin Sohrabi; Michael Katz 001 (ICAPS, 2022)

Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics. - Masataro Asai (CoRR, 2022)

Classical Planning in Deep Latent Space. - Masataro Asai; Hiroshi Kajino; Alex Fukunaga; Christian Muise (J. Artif. Intell. Res., 2022)

Analytical Conjugate Priors for Subclasses of Generalized Pareto Distributions. - Masataro Asai (CoRR, 2023)

Utilizing Admissible Bounds for Heuristic Learning. - Carlos Núñez-Molina; Masataro Asai (CoRR, 2023)

Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. - Stephen Wissow; Masataro Asai (ECAI, 2024)

On Using Admissible Bounds for Learning Forward Search Heuristics. - Carlos Núñez-Molina; Masataro Asai; Pablo Mesejo; Juan Fernández-Olivares (IJCAI, 2024)

Extreme Value Monte Carlo Tree Search (Extended Abstract). - Masataro Asai; Stephen Wissow (SOCS, 2024)

Extreme Value Monte Carlo Tree Search. - Masataro Asai; Stephen Wissow (CoRR, 2024)

ALFA-Chains: AI-Supported Discovery of Privilege Escalation and Remote Exploit Chains. - Miguel Tulla; Andrea Vignali; Christian Colon; Giancarlo Sperlì; Simon Pietro Romano; Masataro Asai; Una-May O'Reilly; Erik Hemberg (CoRR, 2025)

"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation. - Aladin Djuhera; Amin Seffo; Masataro Asai; Holger Boche (CoRR, 2025)