| Project/Area Number |
24KJ0610
|
|---|
| Research Category |
Grant-in-Aid for JSPS Fellows
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 国内 |
|---|
| Review Section |
Basic Section 61030:Intelligent informatics-related
|
|---|
| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
CAI Xinqiang 東京大学, 大学院新領域創成科学研究科, 特別研究員(DC2)
|
|---|
| Project Period (FY) |
2024-04-23 – 2026-03-31
|
| Project Status |
Granted (Fiscal Year 2024)
|
| Budget Amount *help |
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2025: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2024: ¥1,000,000 (Direct Cost: ¥1,000,000)
|
|---|
| Outline of Research at the Start |
The project aims to improve how smart systems learn from human guidance, making them more effective even when clear instructions aren't available. I am committed to designing new ways for these systems to interpret feedback better and adapt to real-world tasks.
|
