Kodama Naoki 小玉直樹

… Alternative Names

小玉直樹コダマナオキ

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Researcher Number	60908747
Other IDs	https://orcid.org/0009-0003-7767-7853
Affiliation (Current)	2024: 明治大学, 理工学部, 助教
Affiliation (based on the past Project Information) *help	2021 – 2022: 明治大学, 理工学部, 助教
Review Section/Research Field	Except Principal Investigator Basic Section 61030:Intelligent informatics-related
Keywords	Except Principal Investigator 経験強化型学習 / 深層学習 / 強化学習 / ロボット制御 / ツイートデータ / 信号機制御 / スマートエネルギーシステム / 深層経験強化型学習 / 利益分配原理 / 深層強化学習

Research on the innovative evolution of deep reinforcement learning based on the profit sharing principle and its application to real problems
- Principal Investigator
  
  宮崎和光
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  National Institution for Academic Degrees and Quality Enhancement of Higher Education

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences2022
- Author(s)
  Kodama Naoki、Harada Taku、Miyazaki Kazuteru
- Journal Title
  
  IEEE Access
  
  Volume: 10 Pages: 128943-128950
- DOI
  10.1109/access.2022.3225431
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12024
[Journal Article] Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction2021
- Author(s)
  Kodama Naoki、Harada Taku、Miyazaki Kazuteru
- Journal Title
  
  IEEE Access
  
  Volume: 9 Pages: 153108-153115
- DOI
  10.1109/access.2021.3126365
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] Distributed Traffic Signal Control with Fairness Using Deep Reinforcement Learning2023
- Author(s)
  Shirasaka Shogo、Kodama Naoki、Harada Taku
- Organizer
  SICE International Symposium on Control Systems 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control2023
- Author(s)
  Matsuta Shinya、Kodama Naoki、Harada Taku
- Organizer
  38th International Conference on Computers and Their Applications
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] Rule-based generation of synthetic genetic circuits2022
- Author(s)
  Kiga Daisuke、Miyazaki Kazuteru、Yasuda Shoya、Hamada Ritsuki、Okuda Sota、Sekine Ryoji、Kodama Naoki、Yamamura Masayuki
- Organizer
  14th International Workshop on Bio-Design Automation (IWBDA 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] 説明可能な深層強化学習法の提案2022
- Author(s)
  小玉直樹、原田拓、宮崎和光
- Organizer
  電気学会C部門大会
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] 深層学習を利用したBioDOS にとって有用な論文の発見2022
- Author(s)
  宮崎和光、木賀大介、安田翔也、濱田立輝、小玉直樹、山村雅幸
- Organizer
  電気学会C部門大会
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] 経験強化型深層強化学習による Atari2600 シミュレーション2022
- Author(s)
  小玉直樹、原田拓、宮崎和光
- Organizer
  計測自動制御学会システム・情報部門学術講演会2022
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] Profit Sharing による方策の直接強化手法の提案2022
- Author(s)
  小玉直樹、宮崎和光、原田拓
- Organizer
  第49回知能システムシンポジウム
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] Proposal for selecting a cooperation partner in distributed control of traffic signals using deep reinforcement learning2021
- Author(s)
  Shinya Matsuta、Naoki Kodama、Taku Harada
- Organizer
  Proceedings of the 8th IIAE International Conference on Intelligent Systems and Image Processing 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] 状態遷移予測型Deep Q-Networkの提案2021
- Author(s)
  小玉直樹、宮崎和光、原田拓
- Organizer
  計測自動制御学会システム・情報部門学術講演会2021
- Data Source
  KAKENHI-PROJECT-21K12024
[Presentation] 状態遷移予測型強化学習法の提案2021
- Author(s)
  小玉直樹、宮崎和光、原田拓
- Organizer
  電気学会C部門大会
- Data Source
  KAKENHI-PROJECT-21K12024

1. 宮崎和光 (20282866)

# of Collaborated Projects: 1 results

# of Collaborated Products: 9 results
2. 山口周 (10182437)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 原田拓 (70256668)

# of Collaborated Projects: 1 results

# of Collaborated Products: 10 results

Kodama Naoki 小玉 直樹

小玉 直樹 コダマ ナオキ

Research Projects

Research Products

Co-Researchers

Research on the innovative evolution of deep reinforcement learning based on the profit sharing principle and its application to real problems

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] Distributed Traffic Signal Control with Fairness Using Deep Reinforcement Learning2023

Author(s)

Organizer

Data Source

[Presentation] Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control2023

Author(s)

Organizer

Data Source

[Presentation] Rule-based generation of synthetic genetic circuits2022

Author(s)

Organizer

Data Source

[Presentation] 説明可能な深層強化学習法の提案2022

Author(s)

Organizer

Data Source

[Presentation] 深層学習を利用したBioDOS にとって有用な論文の発見2022

Author(s)

Organizer

Data Source

[Presentation] 経験強化型深層強化学習による Atari2600 シミュレーション2022

Author(s)

Organizer

Data Source

[Presentation] Profit Sharing による方策の直接強化手法の提案2022

Author(s)

Organizer

Data Source

[Presentation] Proposal for selecting a cooperation partner in distributed control of traffic signals using deep reinforcement learning2021

Author(s)

Organizer

Data Source

[Presentation] 状態遷移予測型Deep Q-Networkの提案2021

Author(s)

Organizer

Data Source

[Presentation] 状態遷移予測型強化学習法の提案2021

Author(s)

Organizer

Data Source

Kodama Naoki 小玉直樹

小玉直樹コダマナオキ