Yohei Hayamizu

According to our database, Yohei Hayamizu authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robot Planning and Situation Handling with Active Perception.

Austine Oloo, Zainab Altaweel, Yohei Hayamizu, Peiqi Liu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Chris Paxton, Xiaohan Zhang, Shiqi Zhang

CoRR, April, 2026

Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems.

Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata

IEEE Trans. Evol. Comput., February, 2026

From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication.

Yohei Hayamizu, David DeFazio, Hrudayangam Mehta, Zainab Altaweel, Jacqueline Choe, Chao Lin, Jake Juettner, Furui Xiao, Jeremy Blackburn, Shiqi Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models.

Xiaohan Zhang, Yan Ding, Yohei Hayamizu, Zainab Altaweel, Yifeng Zhu, Yuke Zhu, Peter Stone, Chris Paxton, Shiqi Zhang

CoRR, November, 2025

Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning.

Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning.

Xiaohan Zhang, Zainab Altaweel, Yohei Hayamizu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang

CoRR, 2024

Emergence of Continuous Signals As Shared Symbols Through Emergent Communication.

Issei Saito, Tomoaki Nakamura, Akira Taniguchi, Tadahiro Taniguchi, Yohei Hayamizu, Shiqi Zhang

Proceedings of the IEEE International Conference on Development and Learning, 2024

Learning Quadruped Locomotion Policies Using Logical Rules.

David DeFazio, Yohei Hayamizu, Shiqi Zhang

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023

Learning Joint Policies for Human-Robot Dialog and Co-Navigation.

Yohei Hayamizu, Zhou Yu, Shiqi Zhang

IROS, 2023

Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems.

Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension.

Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs.

Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS.

Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Misclassification detection based on conditional VAE for rule evolution in learning classifier system.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Guiding Robot Exploration in Reinforcement Learning via Automated Planning.

Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020

Guided Dyna-Q for Mobile Robot Exploration and Navigation.

Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama

CoRR, 2020