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Takuya Kanazawa
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2020 – today
- 2023
- [j1]Jueming Hu
, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa
, Chetan Gupta, Ahmed K. Farahat
:
Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. Comput. Ind. Eng. 185: 109631 (2023) - [i7]Takuya Kanazawa, Chetan Gupta:
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. CoRR abs/2303.08909 (2023) - 2022
- [c3]Takuya Kanazawa, Chetan Gupta:
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. IJCCI 2022: 292-304 - [c2]Takuya Kanazawa:
One-Parameter Family of New Acquisition Functions for Efficient Global Optimization. IJCNN 2022: 1-8 - [c1]Takuya Kanazawa, Haiyan Wang, Chetan Gupta:
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. IJCNN 2022: 1-10 - [i6]Takuya Kanazawa, Haiyan Wang, Chetan Gupta:
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. CoRR abs/2207.13730 (2022) - [i5]Takuya Kanazawa, Chetan Gupta:
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. CoRR abs/2209.08418 (2022) - 2021
- [i4]Takuya Kanazawa:
Using Distance Correlation for Efficient Bayesian Optimization. CoRR abs/2102.08993 (2021) - [i3]Takuya Kanazawa:
Efficient Bayesian Optimization using Multiscale Graph Correlation. CoRR abs/2103.09434 (2021) - [i2]Takuya Kanazawa:
One-parameter family of acquisition functions for efficient global optimization. CoRR abs/2104.12363 (2021)
2010 – 2019
- 2019
- [i1]Takuya Kanazawa, Akinori Asahara, Hidekazu Morita:
Accelerating small-angle scattering experiments with simulation-based machine learning. CoRR abs/1908.09102 (2019)
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