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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
AGENTS
1997
Springer
15 years 10 months ago
Adaptation and Learning in Animated Creatures
This paper is concerned with synthetic agents interacting with virtual environments, called animated creatures. The animated creatures are articulated graphical gures that are eq...
Jiming Liu, Hong Qin, Yuan Yan Tang, Y. T. Wu
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...