We consider a problem similar in many respects to a finite horizon Markov decision process, except that the reward to the individual is a strictly concave functional of the distribution of the state ...

Robust dynamic optimization has become an indispensable tool in addressing the inherent uncertainties present in chemical process modelling and control. By integrating optimisation routines with ...

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 ...

https://doi.org/10.2307/1243989 • https://www.jstor.org/stable/1243989 Copy URL A dynamic programming model that allocates irrigations among competing crops, while ...