Masataro Asai - RankMe

41 papers A* 15A 1B 1C 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning. AAAI Masataro Asai
2026	A*	`conf`	Extreme Value Monte Carlo Tree Search for Classical Planning. AAAI Masataro Asai, Stephen Wissow
2025	J	`jnl`	"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation. CoRR Aladin Djuhera, Amin Seffo, Masataro Asai, Holger Boche
2025	J	`jnl`	ALFA-Chains: AI-Supported Discovery of Privilege Escalation and Remote Exploit Chains. CoRR Miguel Tulla, Andrea Vignali, Christian Colon, Giancarlo Sperlì, Simon Pietro Romano, Masataro Asai, Una-May O'Reilly, Erik Hemberg
2025	J	`jnl`	Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning. CoRR Masataro Asai
2025	J	`jnl`	Verbalized Algorithms. CoRR Supriya Lall, Christian Farrell, Hari Pathanjaly, Marko Pavic, Sarvesh Chezhian, Masataro Asai
2024	B	`conf`	Extreme Value Monte Carlo Tree Search (Extended Abstract). SOCS Masataro Asai, Stephen Wissow
2024	J	`jnl`	Extreme Value Monte Carlo Tree Search. CoRR Masataro Asai, Stephen Wissow
2024	A*	`conf`	On Using Admissible Bounds for Learning Forward Search Heuristics. IJCAI Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernández-Olivares
2024	A	`conf`	Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. ECAI Stephen Wissow, Masataro Asai
2023	J	`jnl`	Analytical Conjugate Priors for Subclasses of Generalized Pareto Distributions. CoRR Masataro Asai
2023	J	`jnl`	Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. CoRR Stephen Wissow, Masataro Asai
2023	J	`jnl`	Utilizing Admissible Bounds for Heuristic Learning. CoRR Carlos Núñez-Molina, Masataro Asai
2022	J	`jnl`	Classical Planning in Deep Latent Space. J. Artif. Intell. Res. Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
2022	J	`jnl`	Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics. CoRR Masataro Asai
2022	A*	`conf`	Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari. ICAPS Benjamin J. Ayton, Masataro Asai
2022	A*	`conf`	Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
2021	J	`jnl`	Classical Planning in Deep Latent Space. CoRR Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
2021	J	`jnl`	Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
2021	—	`ch.`	Symbolic Reasoning in Latent Space: Classical Planning as an Example. Neuro-Symbolic Artificial Intelligence Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
2021	J	`jnl`	Width-Based Planning and Active Learning for Atari. CoRR Benjamin J. Ayton, Masataro Asai
2020	J	`jnl`	Discrete Word Embedding for Logical Natural Language Understanding. CoRR Masataro Asai, Zilu Tang
2020	A*	`conf`	Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). IJCAI Masataro Asai, Christian Muise
2020	J	`jnl`	Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). CoRR Masataro Asai, Christian Muise
2019	J	`jnl`	Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS. CoRR Masataro Asai
2019	A*	`conf`	Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. ICAPS Masataro Asai, Hiroshi Kajino
2019	J	`jnl`	Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. CoRR Masataro Asai, Hiroshi Kajino
2019	A*	`conf`	Unsupervised Grounding of Plannable First-Order Logic Representation from Images. ICAPS Masataro Asai
2019	J	`jnl`	Unsupervised Grounding of Plannable First-Order Logic Representation from Images. CoRR Masataro Asai
2018	A*	`conf`	Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. AAAI Masataro Asai, Alex Fukunaga
2018	J	`jnl`	Photo-Realistic Blocksworld Dataset. CoRR Masataro Asai
2018	J	`jnl`	Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions. CoRR Masataro Asai
2017	J	`jnl`	Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. CoRR Masataro Asai, Alex Fukunaga
2017	C	`conf`	Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back). NeSy Masataro Asai, Alex Fukunaga
2017	A*	`conf`	Efficient Optimal Search under Expensive Edge Cost Computation. IJCAI Masataro Asai, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, Spyros Kotoulas
2017	A*	`conf`	Exploration among and within Plateaus in Greedy Best-First Search. ICAPS Masataro Asai, Alex Fukunaga
2017	A*	`conf`	Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract). AAAI Masataro Asai, Alex Fukunaga
2017	J	`jnl`	Tie-Breaking Strategies for Cost-Optimal Best First Search. J. Artif. Intell. Res. Masataro Asai, Alex Fukunaga
2016	A*	`conf`	Tiebreaking Strategies for A* Search: How to Explore the Final Frontier. AAAI Masataro Asai, Alex S. Fukunaga
2015	A*	`conf`	Solving Large-Scale Planning Problems by Decomposition and Macro Generation. ICAPS Masataro Asai, Alex Fukunaga
2014	A*	`conf`	Fully Automated Cyclic Planning for Large-Scale Manufacturing Domains. ICAPS Masataro Asai, Alex Fukunaga