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...
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...
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
This paper is concerned with synthetic agents interacting with virtual environments, called animated creatures. The animated creatures are articulated graphical gures that are eq...
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...