end{equation} The value iteration procedure is very useful in the applications of Markov decision processes. It can be used to compute the optimal value functions. It can also be used to prove ...

Our approach involves the development of a host of new techniques, including linear programming benchmarks, value function approximations, and proxies for continuous-time Markov chains, which may be ...

renewal processes, Brownian Motion, analytical and numerical approximation methods, Markov decision processes. Application areas include inventory control, reliability, queuing, and decision analysis.

John Galt is using a Markov Decision Process to quantify the value of supply chain processes and power a more comprehensive model of real-world supply chain probabilities in their Atlas Planning ...

First-passage properties underlie a wide range of stochastic processes, such as diffusion-limited growth, neuron firing and the triggering of stock options. This book provides a unified presentation ...

Behavioral economics is the study of psychology as it relates to the economic decision-making processes of individuals ... need 2,000 calories a day to function effectively after all, the mouth ...

1. I. Ishikawa, K. Fujii, M. Ikeda, Y. Hashimoto, Y. Kawahara.: "Metric on nonlinear dynamical systems with Perron-Frobenius operators" The 32nd Conference on Neural ...

My expertise in this field is transferred to undergraduates through advanced experience research labs and independent projects in which students gain exposure to the process of collecting ... between ...