We use the modeling and algorithmic framework of approximate dynamic programming, which uses an intuitive balance of simulation and optimization with feedback learning, to produce a highly detailed ...

IEMS 469: Dynamic Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Basic knowledge of probability (random variables, expectation, conditional probability), optimization (gradient), ...

Kelly J. Bryant, James W. Mjelde, Ronald D. Lacewell, An Intraseasonal Dynamic Optimization Model to Allocate Irrigation Water between Crops, American Journal of ...