In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Simulation modeling can be highly effective for solving problems found in the food, beverage, consumer products, and pharmaceutical industries. The flow of material or fluid in th...
The Workshop included an extended group of presentations by selected US government agencies and an invited guest from the European Community. These presentations, amplified in the...
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
The Whitehead Institute/MIT Center for Genome Research is responsible for a number of large genome mapping efforts, the scale of which create problems of data and workflow managem...
Lincoln Stein, Andre Marquis, Robert Dredge, Mary ...