陣内佑

ジンナイユウ | Jinnai Yuu

所属機関・部署：
職名： Researcher
ホームページURL (1件)： https://jinnaiyuu.github.io/

研究分野 (1件)：計算科学

研究キーワード (8件)：言語生成 , 機械学習 , 深層学習 , 強化学習 , 探索 , プランニング , 並列アルゴリズム , 人工知能

競争的資金等の研究課題 (2件)：

論文 (15件)：

Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman. Lipschitz Lifelong Reinforcement Learning. Thirty-Fifth AAAI Conference on Artificial Intelligence(AAAI). 2021. 8270-8278
Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris. Exploration in Reinforcement Learning with Deep Covering Options. 8th International Conference on Learning Representations(ICLR). 2020
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca. Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. The Thirty-Fourth AAAI Conference on Artificial Intelligence(AAAI). 2020. 9983-9991
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris. Discovering Options for Exploration by Minimizing Cover Time. Proceedings of the 36th International Conference on Machine Learning(ICML). 2019. 3130-3139
Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris. Finding Options that Minimize Planning Time. Proceedings of the 36th International Conference on Machine Learning(ICML). 2019. 3120-3129

MISC (14件)：

Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang. Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. 2024
Yuu Jinnai, Kaito Ariu. Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. 2024
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe. Model-Based Minimum Bayes Risk Decoding. 2023
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda. On the Depth between Beam Search and Exhaustive Search for Text Generation. 2023
Takumi Noda, Yuu Jinnai, Naoki Tomii, Takashi Azuma. Blind Signal Separation for Fast Ultrasound Computed Tomography. 2023

特許 (5件)：

書籍 (2件)：

学歴 (3件)：

学位 (1件)：

経歴 (4件)：

受賞 (5件)：

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陣内 佑