| Item type |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2024-02-15 |
| 書誌情報 |
en : Artificial Life and Robotics
巻 28,
号 2,
p. 287-294,
発行日 2023
|
| タイトル |
|
|
タイトル |
Self-generation of reward by logarithmic transformation of multiple sensor evaluations |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Self-Generation of Reward |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Reinforcement learning |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Danger recognition |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者 |
小野, 裕也
倉重, 健太郎
Hakim Afiqe Anuar Bin Muhammad Nor
坂本, 悠真
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Although the design of the reward function in reinforcement learning is important, it is difficult to design a system that can adapt to a variety of environments and tasks. Therefore, we propose a method to autonomously generate rewards from sensor values, enabling task- and environment-independent reward design. Under this approach, environmental hazards are recognized by evaluating sensor values. The evaluation used for learning is obtained by integrating all the sensor evaluations that indicate danger. Although prior studies have employed weighted averages to integrate sensor evaluations, this approach does not reflect the increased danger arising from a higher amount of more sensor evaluations indicating danger. Instead, we propose the integration of sensor evaluation using logarithmic transformation. Through a path learning experiment, the proposed method was evaluated by comparing its rewards to those gained from manual reward setting and prior approaches. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Springer Nature |
|
言語 |
en |
| DOI |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1007/s10015-023-00855-1 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
1433-5298 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
© International Society of Artifcial Life and Robotics (ISAROB) 2023 |
| 著者版フラグ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
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