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 ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

This paper presents semiparametric identification results for the Rust (1994) class of discrete choice dynamic programming (DCDP) models. We develop sufficient conditions for identification of the ...

As System-on-chip (SOC) developers continue to look for ways to reduce costs and time to market, considering the different non-volatile memory (NVM) options to add flexibility to their products is ...

As coal and water resources are important foundations of sustainable national economic and social development, the coal–water conflict has been drawing increasing attention. In particular, pollution ...