Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
ic copy available at: http://ssrn.com/abstract=1115410 Inventory Systems with Stochastic Demand and Supply: Properties and Approximations Amanda J. Schmitt Center for Transportatio...
Amanda J. Schmitt, Lawrence V. Snyder, Zuo-Jun Max...
We present smooth interpretation, a method to systematically approximate numerical imperative programs by smooth mathematical functions. This approximation facilitates the use of ...
We consider the problem of partitioning a graph into k components of roughly equal size while minimizing the capacity of the edges between different components of the cut. In part...