| Presentation | 2022-07-04 Designing Rewards in Deep Reinforcement Learning for Chick Feeding System Masato Kijima, Katsuhide Fujita, Tsuyoshi Shimmura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Livestock is raised cage-free, and there is an urgent need to develop an appropriate livestock management system. The key to the construction of an appropriate system is the ACI technology of "understanding" livestock and the "control" of feeders. However, it's necessary to optimize the system using reinforcement learning to construct a production management system. This study aims to design and examine a reward function for deep reinforcement learning in a chick feeding system. We developed a simulator to simulate an environment with multiple chicks and feeder robots and evaluated the proposed methods using the simulator. The effectiveness of the proposed reward function was examined by comparing its accuracy in post-training tests. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | deep reinforcement learning / chick feeding system / reward function |
| Paper # | AI2022-2 |
| Date of Issue | 2022-06-27 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2022/7/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yuichi Sei(Univ. of Electro-Comm.) |
| Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
| Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
| Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Designing Rewards in Deep Reinforcement Learning for Chick Feeding System |
| Sub Title (in English) | |
| Keyword(1) | deep reinforcement learning |
| Keyword(2) | chick feeding system |
| Keyword(3) | reward function |
| 1st Author's Name | Masato Kijima |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology(TAT) |
| 2nd Author's Name | Katsuhide Fujita |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology(TAT) |
| 3rd Author's Name | Tsuyoshi Shimmura |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology(TAT) |
| Date | 2022-07-04 |
| Paper # | AI2022-2 |
| Volume (vol) | vol.122 |
| Number (no) | AI-94 |
| Page | pp.pp.7-12(AI), |
| #Pages | 6 |
| Date of Issue | 2022-06-27 (AI) |