This is a preview. Log in through your library . Abstract A general sequential model is defined where returns are in a partially ordered set. A distinction is made between maximal (nondominated) ...

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 (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

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 ...

Optimal control theory provides a rigorous mathematical framework for determining control policies that guide dynamical systems towards a desired performance, often by minimising an associated cost ...