Takuya Kanazawa

According to our database, Takuya Kanazawa authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.

Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat

Comput. Ind. Eng., November, 2023

Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning.

Takuya Kanazawa, Chetan Gupta

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control.

Takuya Kanazawa, Haiyan Wang, Chetan Gupta

Proceedings of the International Joint Conference on Neural Networks, 2022

One-Parameter Family of New Acquisition Functions for Efficient Global Optimization.

Takuya Kanazawa

Proceedings of the International Joint Conference on Neural Networks, 2022

Sample-based Uncertainty Quantification with a Single Deterministic Neural Network.

Takuya Kanazawa, Chetan Gupta

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

2021

One-parameter family of acquisition functions for efficient global optimization.

Takuya Kanazawa

CoRR, 2021

Efficient Bayesian Optimization using Multiscale Graph Correlation.

Takuya Kanazawa

CoRR, 2021

Using Distance Correlation for Efficient Bayesian Optimization.

Takuya Kanazawa

CoRR, 2021

2019

Accelerating small-angle scattering experiments with simulation-based machine learning.

Takuya Kanazawa, Akinori Asahara, Hidekazu Morita

CoRR, 2019