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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 11 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
IEAAIE
1999
Springer
15 years 11 months ago
Knowledge Acquisition Based on Semantic Balance of Internal and External Knowledge
This paper presents a strategy to handle incomplete knowledge during acquisition process. The goal of this research is to develop formal tools that benefit the law of semantic bala...
Vagan Y. Terziyan, Seppo Puuronen
ICRE
1998
IEEE
15 years 11 months ago
Requirements Definition for Survivable Network Systems
Pervasive societal dependency on large-scale, unbounded network systems, the substantial risks of such dependency, and the growing sophistication of system intruders, have focused...
Richard C. Linger, Nancy R. Mead, Howard F. Lipson
AI
2007
Springer
15 years 10 months ago
Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach
We have constructed a poker classification system which makes informed betting decisions based upon three defining features extracted while playing poker: hand value, risk, and agg...
Brien Beattie, Garrett Nicolai, David Gerhard, Rob...
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 10 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule