Researcher at Hitachi, Ltd.

Reseaech area : Deep learning, Image recognition, Deep Reinforcement Learning, Explainable AI.

Work experience

• April/2025 - Present.　Researcher at Hitachi, Ltd.
• April/2022 - March/2025.　NEDO Next-Generation Artificial Intelligence that Evolves with People.
• April/2021 - February/2022.　Engineer at DENSO WAVE Incorporated.
• August/2019 - October/2019.　Internship, DENSO IT Laboratory Corporation.

Education

• April/2023 - July/2023.　Ohio university (in Athens, Ohio, US), Learning and Intelligent Systems Laboratory (LiSL), Research exchange (for 4 months).
• April/2022 - March/2025.　Support for Pioneering Research Initiated by the Next Generation, Japan Science and Technology Agency (JST).
• April/2022 - March/2025.　Ph.D. of Engineering, Graduate School of Engineering, Chubu University.
• April/2019 - March/2021.　M.S. of Engineering, Graduate School of Engineering, Chubu University.
• April/2015 - March/2019.　B.S. of Engineering, College of Engineering, Chubu University.

Awards

• Chubu university, President award (2024).
• The Institute of Image Electronics Engineers of Japan, IEVC2024 Best paper award (2024).
• The Robotics Society of Japan, HSRコミュニティ優秀論文賞 (2023).
• Chubu university, President award (2020).
• The Japanese Society for Artificial Intelligence, JSAI Annual Conference Student Incentive Award (2020).

Publications

Journal

• Hidenori Itaya, Wantao Yin, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura, "Visual Explanation With Action Query Transformer in Deep Reinforcement Learning and Visual Feedback via Augmented Reality", IEEE Access, vol. 13, pp. 56338-56354, 2024. [paper]
• Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura, "Mask-Attention A3C: Visual Explanation of Action–State Value in Deep Reinforcement Learning", IEEE Access, vol. 12, pp. 86553-86571, 2024. [paper]
• Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, "Adaptive Selection of Auxiliary Tasks Using Deep Reinforcement Learning for Video Game Strategy", IIEEJ Transaction on Image Electronics and Visual Computing, vol. 12, No. 1, pp. 23-31, 2024. [paper]

International conference

• Chenyu Zhang, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, "High-Precision for Multi-Task Learning from In-Vehicle Camera Using BiFPN", 35th IEEE Intelligent Vehicles Symposium (IV), 2024. [conference]
• Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, "Auxiliary selection: optimal selection of auxiliary tasks using deep reinforcement learning", 8th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC), 2024. [conference] [abst] [slide]
• Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, "Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning", IEEE International Joint Conference on Neural Networks (IJCNN), 2023. [conference] [paper] [program]
• Tsuyoshi Goto, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, "Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles", 33rd IEEE Intelligent Vehicles Symposium (IV), 2022. [conference] [paper]
• Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura, "Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning", IEEE International Joint Conference on Neural Networks (IJCNN), 2021. [conference] [paper]
• Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, "Adaptive Selection of Auxilliary Tasks in UNREAL", The 28th International Joint Conference on Artificial Intelligence (IJCAI) 2nd scaling-up reinforcement learning (SURL) workshop, 2019. [conference] [paper] [slide]

Domestic conference

• 鈴木陽太郎, 板谷英典, 平川翼, 山下隆義, 藤吉弘亘, "歩行者が交差点に存在するシーンにおける物体検出モデルの精度評価", 自動車技術会 秋季大会, 2024. [conference] [program]
• 鈴木佳三, 板谷英典, 村瀬卓也, 佐々木一磨, 平川翼, 山下隆義, 藤吉弘亘, "MaskDP による事前学習のマルチドメイン拡張", 日本ロボット学会学術講演会 (RSJ), 2024. [conference] [program]
• 板谷英典, 平川翼, 山下隆義, 藤吉弘亘, 杉浦孔明, "Action Q-Transformerによる説明可能な強化学習", Meeting on Image Recognition and Understanding (MIRU), 2024. [conference]
• 板谷英典, ポスター発表, 東京工業大学-基礎生物学研究所-生理学研究所-中部大学 合同マッチングワークショップ「生命と情報の新たなる融和：超階層生物学とＡＩ・数理」, 2024. [workshop] [poster]
• 大鹿海都, 板谷英典, 平川翼, 山下隆義, 藤吉弘亘, "深層強化学習における状態遷移を考慮した内発的動機付けによる探索の効率化", パターン認識・メディア理解研究会 (PRMU), 2024. [conference] [paper]
• 尹文韜, 板谷英典, 真野航輔, 平川翼, 山下隆義, 藤吉弘亘, "Transformerモデルによる自律移動の視覚的説明と拡張現実による提示", The 41st annual conference of the Robotics Society of Japan (RSJ), 2023. [conference] [paper]
• 山下隆義, 板谷英典, 平川翼, 藤吉弘亘, 長瀬功児, 小山翔太郎, 井上秀雄, "車載カメラを用いた物体検出における実環境とCG環境の一致性検証", Society of Automotive Engineers of Japan (JSAE) Spring Meeting, 2023. [conference] [paper] [program]
• 本多航也, 板谷英典, 平川翼, 山下隆義, 藤吉弘亘, "Mask-attention機構を導入したPPOによる物体把持動作の視覚的説明", The 40st annual conference of the Robotics Society of Japan (RSJ), 2022. [conference] [paper]
• 板谷英典, 平川翼, 山下隆義, 藤吉弘亘, 杉浦孔明, "A3CにおけるAttention機構を用いた視覚的説明", The Japanese Society for Artificial Intelligence (JSAI), 2020. [conference] [paper]
• 板谷英典, 平川翼, 山下隆義, 藤吉弘亘, "UNREALにおける補助タスクの適応的選択", The Japanese Society for Artificial Intelligence (JSAI), 2019. [conference] [paper]