A JuMP extension for Stochastic Dual Dynamic Programming

Proximal algorithms for nonsmooth optimization in Julia

An intuitive modeling interface for infinite-dimensional optimization problems.

Algorithm and model experiments for robot motion planning. Implemented in Julia.

Macros and functions to work with DSGE models.

Quantum Optimal Control with Direct Collocation

A package for solving Differential Dynamic Programming and trajectory optimization problems.

Adaptive importance sampling modification to MPPI

Julia interface to CasADi via PyCall

Julia Framework for Quantum Dynamics and Control

Trajectory Optimization for Robot Arms

Robust and optimal design and analysis of linear control systems

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

A tool to solve optimal control problem

A component of the SciML scientific machine learning ecosystem for optimal control

Efficient Handling of Trajectories with User Defined Named Components

Gradient Ascent Pulse Engineering in Julia

A Julia package for constrained trajectory optimization using direct methods.

Fundamentals of the control-toolbox ecosystem

Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248