An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
In reviewing topics in simulation output analysis, we advocate univariate analysis, micro/macro replications based on fixed sample sizes, overlapping batches, batch sizes based on...
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
This paper introduces a dynamics simulator designed to aid the development of control algorithms for biologically inspired robots. We describe the simulator and a two-tier framewo...
Background: Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulation...