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

Manuel S. Santos, , Analysis of a Numerical Dynamic Programming Algorithm Applied to Economic Models, Econometrica, Vol. 66, No. 2 (Mar., 1998), pp. 409-426 ...

The project required bringing together years of research in approximate dynamic programming, merging math programming with machine learning, to solve dynamic programs with extremely high-dimensional ...

The Dynamic Programming and Optimal Control class focuses on optimal path planning and solving optimal control problems for dynamic systems. It stands out for several reasons: It is multidisciplinary, ...

This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

Understand the various algorithms for solving a dynamic program Topics Introduction to dynamic programming Value and policy iterations Stochastic gradient algorithm Q-learning and temporal differences ...

Greedy Algorithms Dynamic Programming Algorithms Algorithms for the following primitives: Sorting: bubblesort, mergesort, heapsort, quicksort. Searching Graph Algorithms: Depth/Breadth First Search, ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...