言語モデル型深層強化学習に基づくモデル検査技法の研究

• Project/Area Number: 25K15064
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60050:Software-related
• Research Institution: Tokyo University of Science, Yamaguchi
• Principal Investigator: 熊澤 努 山陽小野田市立山口東京理科大学, 工学部, 教授 (90847906)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2027: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2026: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2025: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)