For background, this is the scenario explored in the early 1950s by Richard Bellman, who developed dynamic programming to solve optimal control and Markov decision process problems.

In this paper, we propose a robust dual dynamic programming (RDDP) scheme for multistage robust optimization problems. The RDDP scheme takes advantage of the decomposable nature of these problems by ...

This paper considers a minimum-cost network flow problem in a bipartite graph with a single sink. The transportation costs exhibit a staircase cost structure because such types of transportation cost ...

Results in Engineering (2024). [2] An Improved Slope-based Adaptive Control Vector Parameterization Method for Dynamic Programming. Alexandria Engineering Journal (2024).

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 ...

View on Coursera Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic ...

Description 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 ...