Study on Motorcycle Rider Model using Reinforcement Learning Basic Research to Represent the Behavior according to the Rider Proficiency
強化学習を利用した二輪車ライダモデルに関する研究 ライダの熟練度に応じた挙動を表現するための基礎調査
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- Publication code
- 20244228
- Paper/Info type
- JSAE Transaction
Vol.55 No.3
- Pages
- 559-564(Total 6 p)
- Date of publication
- May 2024
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | 論文 Translation |
|---|---|
| Category(E) | Paper |
| Author(J) | 1) 三觜 康弘, 2) 竹下 仁士, 3) 椴山 由貴, 4) 矢部 昇 |
| Author(E) | 1) Yasuhiro Mitsuhashi, 2) Hitoshi Takeshita, 3) Yoshitaka Momiyama, 4) Noboru Yabe |
| Affiliation(J) | 1) InovaLigo LLC, 2) The MathWorks GK, 3) ヤマハ発動機, 4) ヤマハ発動機 |
| Abstract(J) | 深層強化学習を利用した，目標軌道を追従するライダの挙動を表現する方法について示す．ライディングスキルを評価する既存のアプリケーションを利用し，学習量とライダの熟練度との関係を考察する． Translation |
| Abstract(E) | Various approaches have been employed to model rider behaviors, but replicating complex movements or diverse behaviors requires further consideration. In this study, the aim is to develop a model that can more in detail replicate the behaviors of real riders by leveraging the rapidly evolving technology of deep reinforcement learning. In this initial report, examples are demonstrated of constructing a rider model. Additionally, by utilizing technologies to evaluate riding skills, this study assesses the proficiency of the learning model and attempts to establish a connection between the learning model and reality. |
