Presentation 2004/3/8
Design of action-value function based on Monte Carlo method with partial exhaustive investigation, and Application to TAG
Masaki ONODERA, Hidenori KAWAMURA, Koichi KURUMATANI, Azuma OHUCHI,
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Abstract(in English) About automatic decision-making by the software in fields, such as electronic commerce, the action-value function, which is in consideration of the uncertainty using the expected value, was designed. Moreover, as a way method which raises the accuracy of calculation of an expected value, Monte Carlo method with partial exhaustive investigation was proposed, and the validity was verified by experiment. At the end, the action-value function was applied to TAG CLASSIC, and the validity was checked.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Monte Carlo method / Trading Agent Competition / action-value function
Paper # AI2003-78
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Committee AI
Conference Date 2004/3/8(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design of action-value function based on Monte Carlo method with partial exhaustive investigation, and Application to TAG
Sub Title (in English)
Keyword(1) Monte Carlo method
Keyword(2) Trading Agent Competition
Keyword(3) action-value function
1st Author's Name Masaki ONODERA
1st Author's Affiliation Graduate School of Engneering, Hokkaido University()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation Graduate School of Engneering, Hokkaido University
3rd Author's Name Koichi KURUMATANI
3rd Author's Affiliation Cyber Assist Research Center(CARC), National Institute of Advanced Industrial Science and Technology(AIST)
4th Author's Name Azuma OHUCHI
4th Author's Affiliation Graduate School of Engneering, Hokkaido University
Date 2004/3/8
Paper # AI2003-78
Volume (vol) vol.103
Number (no) 724
Page pp.pp.-
#Pages 6
Date of Issue