| AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca Proceedings of the AAAI Conference on Artificial Intelligence, 2018 | 168* | 2018 |
| Policy and value transfer in lifelong reinforcement learning D Abel*, Y Jinnai*, SY Guo, G Konidaris, M Littman International Conference on Machine Learning, 20-29, 2018 | 107 | 2018 |
| State abstraction as compression in apprenticeship learning D Abel, D Arumugam, K Asadi, Y Jinnai, ML Littman, LLS Wong Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3134-3142, 2019 | 63 | 2019 |
| Discovering options for exploration by minimizing cover time Y Jinnai, JW Park, D Abel, G Konidaris Proceedings of the 36th International Conference on Machine Learning, 2019 | 62 | 2019 |
| Exploration in reinforcement learning with deep covering options Y Jinnai, JW Park, MC Machado, G Konidaris International Conference on Learning Representations, 2020 | 58 | 2020 |
| Finding Options that Minimize Planning Time Y Jinnai, D Abel, DE Hershkowitz, M Littman, G Konidaris Proceedings of the 36th International Conference on Machine Learning, 2019 | 49 | 2019 |
| Lipschitz lifelong reinforcement learning E Lecarpentier, D Abel, K Asadi, Y Jinnai, E Rachelson, ML Littman Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8270-8278, 2021 | 44 | 2021 |
| Learning to Prune Dominated Action Sequences in Online Black-box Planning Y Jinnai, A Fukunaga Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 21 | 2017 |
| Parallel a* for state-space search A Fukunaga, A Botea, Y Jinnai, A Kishimoto Handbook of Parallel Constraint Reasoning, 419-455, 2018 | 20* | 2018 |
| Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search Y Jinnai, A Fukunaga Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence …, 2016 | 18 | 2016 |
| Filtered Direct Preference Optimization T Morimura, M Sakamoto, Y Jinnai, K Abe, K Ariu Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 12 | 2024 |
| Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment Y Jinnai, T Morimura, K Ariu, K Abe arXiv preprint arXiv:2404.01054, 2024 | 7 | 2024 |
| On hash-based work distribution methods for parallel best-first search Y Jinnai, A Fukunaga Journal of Artificial Intelligence Research 60, 491-548, 2017 | 6 | 2017 |
| Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search Y Jinnai, A Fukunaga International Conference on Automated Planning and Scheduling, 2016 | 6 | 2016 |
| On the depth between beam search and exhaustive search for text generation Y Jinnai, T Morimura, U Honda arXiv preprint arXiv:2308.13696, 2023 | 5 | 2023 |
| Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models? Y Jinnai Proceedings of the 2nd Workshop on Cross-Cultural Considerations in NLP, 48--64, 2024 | 4 | 2024 |
| Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding Y Jinnai, U Honda, T Morimura, P Zhang Findings of the Association for Computational Linguistics ACL 2024, 8494–8525, 2024 | 4 | 2024 |
| Blind signal separation for fast ultrasound computed tomography T Noda, Y Jinnai, N Tomii, T Azuma arXiv preprint arXiv:2304.14424, 2023 | 4 | 2023 |
| Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding Y Jinnai, K Ariu Findings of the Association for Computational Linguistics ACL 2024, 8547–8566, 2024 | 2 | 2024 |
| Model-Based Minimum Bayes Risk Decoding for Text Generation Y Jinnai, T Morimura, U Honda, K Ariu, K Abe Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | 2* | 2024 |
David AbelDeepMind / University of EdinburghVerified email at deepmind.com
