| Guiding robot exploration in reinforcement learning via automated planning Y Hayamizu, S Amiri, K Chandan, K Takadama, S Zhang Proceedings of the International Conference on Automated Planning and …, 2021 | 20* | 2021 |
| Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs H Shiraishi, Y Hayamizu, H Sato, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference, 422-430, 2022 | 9 | 2022 |
| Dkprompt: Domain knowledge prompting vision-language models for open-world planning X Zhang, Z Altaweel, Y Hayamizu, Y Ding, S Amiri, H Yang, A Kaminski, ... arXiv preprint arXiv:2406.17659, 2024 | 6 | 2024 |
| Fuzzy-UCS revisited: self-adaptation of rule representations in Michigan-style learning fuzzy-classifier systems H Shiraishi, Y Hayamizu, T Hashiyama Proceedings of the Genetic and Evolutionary Computation Conference, 548-557, 2023 | 6 | 2023 |
| Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System H Shiraishi, M Tadokoro, Y Hayamizu, Y Fukumoto, H Sato, K Takadama 2021 IEEE Congress on Evolutionary Computation (CEC), 311-318, 2021 | 6 | 2021 |
| Learning quadruped locomotion policies using logical rules D DeFazio, Y Hayamizu, S Zhang Proceedings of the International Conference on Automated Planning and …, 2024 | 4 | 2024 |
| Can the same rule representation change its matching area? enhancing representation in XCS for continuous space by probability distribution in multiple dimension H Shiraishi, Y Hayamizu, H Sato, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference, 431-439, 2022 | 3 | 2022 |
| Emergence of continuous signals as shared symbols through emergent communication I Saito, T Nakamura, A Taniguchi, T Taniguchi, Y Hayamizu, S Zhang 2024 IEEE International Conference on Development and Learning (ICDL), 1-6, 2024 | 2 | 2024 |
| Beta Distribution based XCS Classifier System H Shiraishi, Y Havamizu, H Sato, K Takadama 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 2 | 2022 |
| Misclassification detection based on conditional vae for rule evolution in learning classifier system H Shiraishi, M Tadokoro, Y Hayamizu, Y Fukumoto, H Sato, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 2 | 2021 |
| Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS H Shiraishi, Y Hayamizu, I Nakari, H Sato, K Takadama International Conference on the Applications of Evolutionary Computation …, 2022 | 1 | 2022 |
| Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems H Shiraishi, Y Hayamizu, T Hashiyama, K Takadama, H Ishibuchi, ... IEEE Transactions on Evolutionary Computation, 2025 | | 2025 |
| Learning Joint Policies for Human-Robot Dialog and Co-Navigation Y Hayamizu, Z Yu, S Zhang 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
| Meta-reinforcement by combining MAML and MLSH for expanding the the range of adaptation S KATO, Y HAYAMIZU, IKO NAKARI, K TAKADAMA 知能システムシンポジウム講演資料 (CD-ROM) 49, 3-1, 2022 | | 2022 |
| XCSR based on Absumption Considering Overgenerality of Rules H SHIRAISHI, Y HAYAMIZU, H SATO, K TAKADAMA インテリジェント・システム・シンポジウム (CD-ROM) 2021, 143-148, 2021 | | 2021 |
| モデルベース強化学習における自動計画を用いた探索戦略 速水陽平， 高玉圭樹 IEICE Conferences Archives, 2020 | | 2020 |
| DKPROMPT: Domain Knowledge Prompting Vision-Language Models XZZ Altaweel, Y Hayamizu, YDSAS Zhang | | |
| 故障に対して冗長性を備えた仮想ロボットのニューロ進化による持続可能な行動獲得 Y Hayamizu, U Fumito, T Tatsumi, K Takadama | | |
Hiroki ShiraishiYokohama National UniversityVerified email at ynu.jp
