🤖 Leverage continuous-time reinforcement learning to optimize asset-liability management and enhance financial decision-making.

Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Robust and optimal design and analysis of linear control systems

Gradient Ascent Pulse Engineering in Julia

Macros and functions to work with DSGE models.

Software package for (N-1-1) LASCOPF (Look-Ahead Security Constrained Optimal Power Flow) with post-contingency restoration in terms of thermal line limits. Also includes Distributed Deep Reinforcement Learning (DDRL) based decision making and Electricity Market model simulation among prosumers.

Assignment for optimal control (MAE 546): Moon Lander Problem

Case Study: Investigating reference command following using neural network pid controllers

This repo contains my applied & computational mathematics work.

Software library for power electronic systems

Define waypoints and timestamps and get a smooth trajectory by minimizing velocity, acceleration or some higher derivative, both in 2D or 3D.

MOO - Modelica / Model Optimizer

Estudiar el problema de clasificación mediante Deep Learing (ResNets) como un problema de Control Óptimo.

Github mirror of https://gitlab.kuleuven.be/meco-software/impact

Model and solve optimal control problems in Julia, both on CPU and GPU.

Cocofest is an optimal control python package for functional electrical stimulation models

A collection of optimal control problems with ODE's in Julia.

Fundamentals of the control-toolbox ecosystem

A JuMP extension for Stochastic Dual Dynamic Programming