A tutorial on linear programming using Python. Contribute to dtnewman/linear_programming_tutorial development by creating an account on GitHub.

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning Abstract:A Markov Decision Process (MDP) is a natural framework for formulating sequential ...

Optimization and linear programming can be used to model and solve various types of problems, such as linear, nonlinear, discrete, continuous, convex, or non-convex.