97 search results - page 9 / 20 » Learning against multiple opponents |
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Most modern real-time strategy computer games have a sophisticated but fixed ‘AI’ component that controls the computer’s actions. Once the user has learned how suc...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
EWCBR
2008
Springer
14 years 11 months ago
2008
Springer
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
AUSAI
2001
Springer
15 years 1 months ago
2001
Springer
: Other work has shown that adaptive learning can be highly successful in developing programs which are able to play games at a level similar to human players and, in some cases, e...
CVIU
2004
14 years 9 months ago
2004
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...