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国際学会/査読なし

  •  Masaya Watabe, Dinesh Malla, Katsuyoshi Sakamoto and Tomah Sogabe,“リスク回避型強化学習を用いたエネルギー システムの最適化” CANDAR2022(2022/11/21-22)

  • Kodai Shiba, Koichi Yamaguchi, Qing Shen, Shuzi Hayase, Yoshitaka Okada, Tomah Sogabe, “Inverse design of perovskite/PbS quantum dot intermediate band solar cells” PVSEC-33 (2022/11/15-16) Nagoya, Japan

  • Kenta Kumakura, Katsuyoshi Sakamoto, Qing Shen, Naoya Miyashita, Tomah Sogabe, “Analysis of electronic and optical properties and mobility simulation of perovskite ligand passivated PbS quantum dot” PVSEC-33 (2022/11/15-16) Nagoya, Japan 

  • Chih-Chieh Chen, Masaya Watabe, Kodai Shiba, Masaru Sogabe, Katsuyoshi Sakamoto and Tomah Sogabe,“Learnability and expressibility of variational quantum circuit learning: VC theory and PAC-Bayes theory” CANDAR2021(2021/11/23-26)

  • Risa Takayanagi, Keita Takahashi, Masaya Watabe, Kazunori Ohkawara and Tomah Sogabe,“Decision Making in American Football under State Uncertainty by Stochastic Inverse Reinforcement Leaning” CANDAR2021(2021/11/23-26)

  •  K. Terada, T. Togawa, F. Ozeki, K. Sakamoto, T. Sogabe and K. Yamaguchi , “Sunlight Concentration Properties of InAs/InAsSb Ultrahigh-Density Quantum -Dot Solar Cells”, The 46th IEEE Photovoltaic Specialists Conference (2019/6/17-21) Chicago, B8-776.

  •  Kei Takahashi, Tomah Sogabe , “Online optimization of AGV transport systems using deep reinforcement learning”,p53-57,NCSS: International Workshop on Networking, Computing, Systems, and Software  (2019/11/26-29) Nagasaki, Japan

  •  Dinesh Bahadur Malla, Katsuyoshi Sakamoto, Tomah Sogabe ,“Multi-agent Based Energy Balancing Management Algorithm for Smart Grid System”, p58-62, NCSS: International Workshop on Networking, Computing, Systems, and Software  (2019/11/26-29) Nagasaki, Japan

  • Kodai Shiba, Katsuyoshi Sakamoto, Tomah Sogabe, “Variational Quantum Support Vector Machine based on Deutsch-Jozsa Ranking”, p63-68, NCSS: International Workshop on Networking, Computing, Systems, and Software  (2019/11/26-29) Nagasaki, Japan

  • Tomoaki Kimura, Katsuyoshi Sakamoto, Tomah Sogabe,“Development of Alpha Zero-based Reinforcement Learning Algorithm for Solving Partially Observable Markov Decision Process (POMDP) Problem”, p69-73, NCSS: International Workshop on Networking, Computing, Systems, and Software,   (2019/11/26-29) Nagasaki, Japan

  • Masaya Watabe, Kodai Shiba, Katsuyoshi Sakamoto, Tomah Sogabe, “Quantum Circuit Learning Using Error Backpropagation”, p74-82, NCSS: International Workshop on Networking, Computing, Systems, and Software, p63-68  (2019/11/26-29) Nagasaki, Japan

  • S.Tatsugi, R.Sugiyama, T.Kato, T.Sogabe and K.Yamaguchi, “Photoluminescence Mapping of In-Plane Ultrahigh-Density InAs Quantum Dots for Solar Cell Applications”, The 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), 2018.

  • K.Yamaguchi, A.Makaino, K.Sakamoto and T.Sogabe, “Self-Formation of InAs Quantum Dots on Oxide/Semiconductor Substrates by Molecular Beam Deposition”, Compound Semiconductor Week 2018 (CSW-2018), 2018.

  •  T.Sogabe, D.B.Malla, S.Takayama, S.Shin, K.Sakamoto, K.Yamaguchi, M.Sogabe, Y.Okada and T.Hirata, “Smart Grid Optimization By Deep Reinforcement Learning Over Discrete And Continuous Action Space”, The 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), 2018.

  •  D.Malla, K.Sakamoto, K.Yamaguchi, S.Yokogawa and T.Sogabe, “Hybrid Policy Gradient for Deep Reinforcement Learning”, NCSS: International Workshop on Networking, Computing, Systems, and Software, 2018.

  •  T.Hirata, D.Malla, K.Sakamoto, K. Yamaguch, Y. Okada and T.Sogabe, “Smart Grid Optimization by Deep Reinforcement Learning over Discrete and Continuous Action Space”, NCSS: International Workshop on Networking, Computing, Systems, and Software, 2018.

  • R.Sugiyama, N. Akimoto, T. Sogabe and Koichi Yamaguchi, “Evaluation of In-Plane Ultrahigh-Density InAs Quantum Dots on GaAsSb/GaAs(001) for Solar Cell Applications”, 44th IEEE Photovoltaic Specialists Conference(PVSC44) (2017).

  •  T.Sogabe, K. Nii, K. Sakamoto, K. Yamaguchi, Y. Okada, “Hot Carrier Transportation Dynamics in InAs/GaAs Quantum Dot Solar Cell”, 44th IEEE Photovoltaic Specialists Conference(PVSC44) (2017).

  •  Y.Okada , Y.Shoji, C-Y, Hung , D.J. Farrell, T. Sogabe, “High density quantum dot solar cells for concentrating photovoltaics (CPV)”, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (2017)

  •  Makaino, K.Sakamoto, T.Sogabe and K.Yamaguchi, “Self-formation of in-plane ultrahigh-density InAs quantum dots and their photoluminescence properties”, Compound Semiconductor Week (2017)

  • K. Nii, Y. Minami, K. Sakamoto, T. Sogabe, K. Yamaguchi, “Photoluminescence and Photovoltaic Properties of Ultrahigh Density InAs Quantum Dots on InAsSb/GaAs(001)”, The 26th Photovotaic Sicnece and Engineering Conference (PVSEC-26), 2016.10.24-28, Singapore, 1_1-0017.

  •  Bernice Mae Yu Jeco, T. Sogabe, Y.Okada, “Spatial Distribution of Temperature Dependent luminescence coupling Current in InGaP/GaAs/Ge Triple Junction Solar Cells”, PVSEC-26 Singapore, 2016.10.24,

  • Ogura, M. Mori, K.Yoshida, T. Sogabe, and Y. Okada, “Device simulation of thin-film intermediate-band solar cell using drift-diffusion model and FDTD method (oral)”, SPIE Photonics West OPTO 2016, 2016.2.

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