Yohei Hayamizu

Orcid: 0000-0003-1642-4919

According to our database1, Yohei Hayamizu authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning.
CoRR, 2024

Emergence of Continuous Signals As Shared Symbols Through Emergent Communication.
Proceedings of the IEEE International Conference on Development and Learning, 2024

Learning Quadruped Locomotion Policies Using Logical Rules.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023
Learning Joint Policies for Human-Robot Dialog and Co-Navigation.
IROS, 2023

Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems.
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.
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.
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.
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.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Guiding Robot Exploration in Reinforcement Learning via Automated Planning.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Guided Dyna-Q for Mobile Robot Exploration and Navigation.
CoRR, 2020


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