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Takuya Kanazawa

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

Mar 15, 2023
Takuya Kanazawa, Chetan Gupta

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* 23 pages, 16 figures

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Sample-based Uncertainty Quantification with a Single Deterministic Neural Network

Sep 17, 2022
Takuya Kanazawa, Chetan Gupta

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* 14 pages. Accepted by the 14th International Conference on Neural Computation Theory and Applications (NCTA 2022) held as part of IJCCI 2022, October 24-26, 2022, Valletta, Malta

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Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control

Jul 27, 2022
Takuya Kanazawa, Haiyan Wang, Chetan Gupta

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* 10 pages, 6 figures. Accepted to International Joint Conference on Neural Networks (IJCNN 2022), July 18-23, Padua, Italy

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One-parameter family of acquisition functions for efficient global optimization

Apr 26, 2021
Takuya Kanazawa

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* 13 pages, 6 figures

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Efficient Bayesian Optimization using Multiscale Graph Correlation

Mar 17, 2021
Takuya Kanazawa

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* 12 pages, 2 figures

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Using Distance Correlation for Efficient Bayesian Optimization

Feb 17, 2021
Takuya Kanazawa

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* 10 pages

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

Aug 24, 2019
Takuya Kanazawa, Akinori Asahara, Hidekazu Morita

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* 19 pages, 9 figures. Accepted for publication in Journal of Physics: Materials

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