Yuu Jinnai


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Project: Parallel Best-First Search
Project: Automated Skill Discovery
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Japanese: Open Data Structures
Japanese: ヒューリスティック探索入門


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Yuu Jinnai

Researcher, CyberAgent AI Lab

Biography

Research Interests

Artificial Intelligence, Reinforcement Learning, Language Model Alignment, Text Generation, Classical Planning, Heuristic Search

Publications

tmlr2025 Ichihara, Y., Jinnai, Y., Morimura, T., Ariu, K., Abe, K., Sakamoto, M., & Uchibe, E. (2025). Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. Transactions on Machine Learning Research (TMLR) PAPER CODE TALK
naacl2025 Jinnai, Y., Morimura, T., Ariu, K., & Abe, K. (2024). Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment. 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-25) PAPER CODE
emnlp2024 Morimura, T., Sakamoto, M., Jinnai, Y., Abe, K., & Ariu, K. (2024). Filtered Direct Preference Optimization. The 2024 Conference on Empirical Methods in Natural Language Processing. (EMNLP-24) PAPER CODE
c3nlp2024 Jinnai Y. 2024. Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models? Proceedings of the 2nd Workshop on Cross-Cultural Considerations in NLP (C3NLP Workshop at ACL 2024). Best Paper Award. PAPER TALK MODEL DATASET
icml2024 Jinnai Y, Morimura T, Honda U, Ariu K, Abe K. Model-based minimum bayes risk decoding. Proc. 41st International Conference on Machine Learning. (ICML-24) PAPER CODE TALK
acl2024hyperparameter Jinnai Y, Ariu K. Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. In Findings of the Association for Computational Linguistics. (ACL-24 Findings) PAPER CODE TALK
acl2024diverse Jinnai Y, Honda U, Morimura T, Zhang P. Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. In Findings of the Association for Computational Linguistics. (ACL-24 Findings) PAPER CODE TALK
naacl2024 Ohashi A, Honda U, Morimura T, Jinnai Y. 2024. On the True Distribution Approximation of Minimum Bayes-Risk Decoding. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics. (NAACL-24) PAPER CODE TALK
lipschitz Lecarpentier E, Abel D, Asadi K, Jinnai Y, Rachelson E, Littman Michael L. 2021. Lipschitz Lifelong Reinforcement Learning. Proc. 35th AAAI conference on Artificial Intelligence (AAAI-21) arXiv Poster CODE
iclr-20 Y. Jinnai, J. Park, M.C. Machado, and G.D. Konidaris. Exploration in Reinforcement Learning with Deep Covering Options. Accepted, Proceedings of the Eighth International Conference on Learning Representations. (ICLR-20) PAPER
alphaX Wang L*, Zhao Y*, Jinnai Y, Tian Y, Fonseca R. 2020. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. Proc. 34th AAAI conference on Artificial Intelligence (AAAI-20) *These authors contributed equally to this work. PAPER CODE
options-for-RL Jinnai Y. Park JW, Abel D, Konidaris G. 2019. Discovering Options for Exploration by Minimizing Cover Time. Proc. 36th International Conference on Machine Learning. (ICML-19) PAPER CODE TALK
options-for-planning Jinnai Y, Abel D, Hershkowitz E, Littman M, Konidaris G. 2019. Finding Options that Minimize Planning Time. Proc. 36th International Conference on Machine Learning. (ICML-19) PAPER CODE TALK
options-for-RL Jinnai Y, Abel D, Park JW, Hershkowitz E, Littman M, Konidaris G. 2019. Skill Discovery with Well-Defined Objectives. ICLR Worshop on Structure and Priors in Reinforcement Learning. PAPER
aaai-19 Abel D, Arumugam D, Asadi K, Jinnai Y, Littman M, Wong L. S. 2019. State Abstraction as Compression in Apprenticeship Learning. Proc. 33rd AAAI Conference on Artificial Intelligence (AAAI-19). PAPER CODE
icml-18 Abel D*, Jinnai Y*, Guo Y, Konidaris G, Littman M. 2018. Policy and Value Transfer for Lifelong Reinforcement Learning. Proc. 35th International Conference on Machine Learning. (ICML-18) *These authors contributed equally to this work. PAPER POSTER CODE TALK by D. Abel
book Fukunaga A, Botea A, Jinnai Y, Kishimoto A. 2018. Parallel A* for State-Space Search. Handbook of Parallel Constraint Reasoning, Youssef Hamadi, Lakhdar Sais (eds.), Springer. ISBN 978-3-319-63515-6. BOOK
hsdip Jinnai Y, Fukunaga A. 2017. A Graph-Partitioning Based Approach for Parallel Best-First Search. ICAPS 2017 Workshop on Heuristic and Search for Domain-Independent Planning (HSDIP). PAPER SLIDES CODE
aaai-17 Jinnai Y, Fukunaga A. 2017. Learning to Prune Dominated Action Sequences in Online Black-box Planning. Proc. 31st AAAI Conference on Artificial Intelligence. (AAAI-17) PAPER SLIDES CODE
jair-17 Jinnai Y, Fukunaga A. 2017. On Hash-Based Work Distribution Methods for Parallel Best-First Search. Journal of Artificial Intelligence Research. (JAIR) PAPER CODE
pastar-survey (Preprint) Fukunaga A., Botea A, Jinnai Y., Kishimoto A. 2017. A Survey of Parallel A*. arXiv 1708.05296 PAPER
icaps-16 Jinnai Y, Fukunaga A. 2016. Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search. Proc. 19th International Conference on Automated Planning and Scheduling. (ICAPS-16) PAPER SLIDES VIDEO CODE
aaai-16 Jinnai Y, Fukunaga A. 2016. Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search. Proc. 30th AAAI Conference on Artificial Intelligence. (AAAI-16) PAPER POSTER CODE (PDDL) CODE (sliding-tile, path-finding, MSA)

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