Yohei Hayamizu

According to our database, Yohei Hayamizu authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

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