Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
Software systems need to adapt as requirements change, environment conditions vary, and bugs are discovered and fixed. In context of verification of these adaptive systems, the ...
In this paper, an analog implementation of the Wavelet Transform (WT) is presented. The circuit is based on the Dynamic Translinear (DTL) circuit technique and implements, by mean...
Designers and researchers of human-computer interaction need tools that permit the rapid exploration and management of hypotheses about complex interactions of designs, task condi...
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...