Art
J-GLOBAL ID：200902131153879965
Reference number：01A0348103
Speeding up Multi-Agent Reinforcement Learning by Coarse-Graining of Perception. Hunter Game as an Example.
知覚情報の粗視化によるマルチエージェント強化学習の高速化 ハンターゲームを例に
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Author (2)：
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Material：
Volume：
J84-D-1
Issue：
3
Page：
285-293
Publication year：
Mar. 01, 2001
JST Material Number：
S0757B
ISSN：
0915-1915
Document type：
Article
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Artificial intelligence
, Game thoery
Reference (14)：
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BENDA, M. On optimal cooperation of knowledge sources. Technical Report, BCS-G2010-28. 1985
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大沢英一. サーベイ: 分散人工知能小問題集. マルチエージェントと協調計算 I. 1992, 179-216
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SUTTON, R. S. Reinforcement learning, An introduction. A Bradford Book. 1998
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SUTTON, R. S. Learning to predict by the methods of temporal differences. Machine Learning. 1988, 3, 9-44
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WATKINS, C. J. C. H. Technical note: Q-learning. Machine Learning. 1992, 8, 55-68
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