| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Research Abstract |
In this research, learning agents segment its learning space gradually during their trial-and-error processes. We proposed, experienced and discuss several methods about its automation. Additionally, we proposed chain form reinforcement learning for small memory agent. PSO for learning, improvement of complex reinforcement learning, effect of PCA for learning, and multi-agent simulator for CO2 emission are done.
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