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» Learning a Game Strategy Using Pattern-Weights and Self-play
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GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
14 years 23 days ago
Trap Avoidance in Strategic Computer Game Playing with Case Injected Genetic Algorithms
Abstract. We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent ...
Chris Miles, Sushil J. Louis, Rich Drewes
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
13 years 12 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
CEC
2005
IEEE
13 years 9 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson
KCAP
2011
ACM
12 years 10 months ago
Integrating knowledge capture and supervised learning through a human-computer interface
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
Trevor Walker, Gautam Kunapuli, Noah Larsen, David...