Markov decision processes (MDPs) and stochastic control constitute pivotal frameworks for modelling decision-making in systems subject to uncertainty. At their core, MDPs provide a structured means to ...

High-order Markov chain models extend the conventional framework by incorporating dependencies that span several previous states rather than solely the immediate past. This extension allows for a ...

A Markov-modulated Poisson Process (MMPP) is a Poisson process that has its parameter controlled by a Markov process. These arrival processes are typical in communications modeling where time-varying ...

We present a method for finding the age distribution of the absorbing semi-Markov process, age being the total time elapsed since the beginning of the process. Several examples are given. Journal ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

There’s an odd little trick to how AI programs, including large language models such as ChatGPT, learn and make decisions. The oddest thing about it is that it can be traced to a Russian born in 1856.