| Project/Area Number |
21700258
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Niigata College of Nursing |
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Principal Investigator |
NAGAYOSHI Masato Niigata College of Nursing, 看護学部, 助教 (70426542)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | 機械学習 / 強化学習 / メタヒューリスティクス / ソフトコンピューティング / 人工知能 / ツフトコンピューティング |
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| Research Abstract |
This research aims to realize Reinforcement Learning (RL) system that has more applicability in order to reduce designer's burden when he constructs RL agent's state and action spaces. First, I have proposed "Switching RL model" to mimic an infants' motor development and a method to switch learning modules. Further, I have proposed "Developments RL model" to mimic infants' perceptual and motor developments and a method to co-construct state and action spaces. Therefore, proposed methods have realized to reduce designer's burden and increase an applicability of RL to the real world.
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