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Reinforcement Learning Agents with Analytic Hierarchy Process: A Case Study of Pursuit Problem

強化学習エージェントへの階層化意志決定法の導入-追跡問題を例に-
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Volume: 19  Page: 279-291  Publication year: Nov. 01, 2004 
JST Material Number: L4429A  ISSN: 1346-0714  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Artificial intelligence 
Reference (22):
  • [荒井98] 荒井 幸代, 宮崎 和光, 小林 重信: マルチエージェント強化学習の方法論-Q-learning と Profit Sharing による接近-, 人工知能学会誌, Vol. 13, No. 4, pp. 609-618 (1998)
  • [Benda 85] Benda, M., Jagannathan, V., and Dodhiawalla, R.: On optimal cooperation of knowledge sources, Technical Report BCS-G2010-28, Boeing AI Center, Boeing Computer Services, Bellevue, WA (1985)
  • [Dixon 00] Dixon, K. R., Malak, R. J., and Khosla, P. K.: Incorporating Prior Knowledge and Previously Learned Information into Reinforcement Learning, Technical Report, Institute for Complex Engineered Systems, Carnegie Mellon University (2000)
  • [Grefenstette 88] Grefenstette, J. J.: Credit assignment in rule discovery systems based on genetic algorithms, Machine Learning, Vol. 3, pp. 225-245 (1988)
  • [伊藤 01] 伊藤 昭, 金渕 満: 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-ハンタゲームを例に-, 信学論(D-I), Vol. J84-D-I, No. 3, pp. 285-293 (2001)
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