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» Learning a Game Strategy Using Pattern-Weights and Self-play
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CIG
2006
IEEE
14 years 1 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone
CIG
2005
IEEE
14 years 1 months ago
Case-Injection Improves Response Time for a Real-Time Strategy Game
We present a case-injected genetic algorithm player for Strike Ops, a real-time strategy game. Such strategy games are fundamentally resource allocation optimization problems and o...
Chris Miles, Sushil J. Louis
ICML
2008
IEEE
14 years 8 months ago
Strategy evaluation in extensive games with importance sampling
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
ALT
2008
Springer
14 years 4 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
TCOM
2010
159views more  TCOM 2010»
13 years 5 months ago
Evolutionary cooperative spectrum sensing game: how to collaborate?
—Cooperative spectrum sensing has been shown to be able to greatly improve the sensing performance in cognitive radio networks. However, if cognitive users belong to different se...
Beibei Wang, K. J. Ray Liu, T. Charles Clancy