Yohei Hayamizu

19 papers A* 3A 4B 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. IEEE Trans. Evol. Comput. Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2026	A*	`conf`	From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication. AAAI Yohei Hayamizu, David DeFazio, Hrudayangam Mehta, Zainab Altaweel, Jacqueline Choe, Chao Lin, Jake Juettner, Furui Xiao, Jeremy Blackburn, Shiqi Zhang
2026	J	`jnl`	From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication. CoRR Yohei Hayamizu, David DeFazio, Hrudayangam Mehta, Zainab Altaweel, Jacqueline Choe, Chao Lin, Jake Juettner, Furui Xiao, Jeremy Blackburn, Shiqi Zhang
2025	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. GECCO Companion Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama
2025	J	`jnl`	LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models. CoRR Xiaohan Zhang, Yan Ding, Yohei Hayamizu, Zainab Altaweel, Yifeng Zhu, Yuke Zhu, Peter Stone, Chris Paxton, Shiqi Zhang
2024	J	`jnl`	DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning. CoRR Xiaohan Zhang, Zainab Altaweel, Yohei Hayamizu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang
2024	—	`conf`	Emergence of Continuous Signals As Shared Symbols Through Emergent Communication. ICDL Issei Saito, Tomoaki Nakamura, Akira Taniguchi, Tadahiro Taniguchi, Yohei Hayamizu, Shiqi Zhang
2024	A*	`conf`	Learning Quadruped Locomotion Policies Using Logical Rules. ICAPS David DeFazio, Yohei Hayamizu, Shiqi Zhang
2023	A	`conf`	Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. GECCO Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama
2023	A	`conf`	Learning Joint Policies for Human-Robot Dialog and Co-Navigation. IROS Yohei Hayamizu, Zhou Yu, Shiqi Zhang
2022	A	`conf`	Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	A	`conf`	Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	B	`conf`	Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
2021	A*	`conf`	Guiding Robot Exploration in Reinforcement Learning via Automated Planning. ICAPS Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang
2021	B	`conf`	Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. CEC Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2021	—	`conf`	Misclassification detection based on conditional VAE for rule evolution in learning classifier system. GECCO Companion Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2020	J	`jnl`	Guided Dyna-Q for Mobile Robot Exploration and Navigation. CoRR Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama