スパイキングニューラルネットワークのサロゲートモデルベース深層強化学習手法の確立

• Project/Area Number: 25K07685
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 20020:Robotics and intelligent system-related
• Research Institution: Chiba Institute of Technology
• Principal Investigator: 三木 大輔 千葉工業大学, 情報変革科学部, 助教 (70757343)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2026: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2025: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)