Art
J-GLOBAL ID：201602272291781442
Reference number：16A1111530
ゲームの目的達成のみを追求したAIでは生まれにくいゲーム内行動の分類と考察
Author (3)：
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Material：
Volume：
2016
Issue：
EC-41
Page：
Vol.2016-EC-41,No.20,1-9 (WEB ONLY)
Publication year：
Jul. 29, 2016
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Artificial intelligence
, Game thoery
Reference (18)：
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Volodymyr Mnih, et al Playing Atari with Deep Reinforcement Learning NIPS Deep Learning Workshop 2013
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Volodymyr Mnih, et al Human-level control through deep reinforcement learning, Nature 518,529533(26 February 2015)
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Soni, et al, Bots traned to play like a human are more fun, Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, pp. 363-369 (2008)
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池田心ら モンテカルロ碁における演出と形勢の制御~接待碁 AI に向けて~, 第17回ゲームプログラミングワークショップ, pp. 47-54, (2012-11)
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藤井叙人ら 生物学的制約の導入による「人間らしい」ふるまいを伴うゲームAIの自律獲得, ゲームプログラミングワークショップ 2013 論文集、pp.70-80, (2013-11-01)
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