Optimization, optimal control and optimal transport tools for spatial and temporal data mining. Part of Mathepia.jl

Energy efficient speed profile planning for trains and other rail vehicles.

A toolbox for controller design using the System Level Synthesis (SLS) methodology

Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states

Optimal experimental design of ODE and DAE systems in julia

Data Processing and Simulation Tools for Networked SIR+

MHMiLQR.jl - Minimal Hessian Modification iLQR

Like reinforcement learning, but it works in practice

Optimization, optimal control and optimal transport tools for spatial and temporal data mining. Part of Mathepia.jl

A tiny quantum optimal control library.

SecondOrderPOC.jl - Formulating and solving optimal control problems in Julia.

A model free approach for continuous-time optimal tracking control with unknown user-define cost and constrained control input via advantage function

Optimal epidemic control by deep learning techniques

A Stochastic Primal-Dual Proximal Splitting Method for Risk-Averse Optimal Control of PDEs

Optimal Importance Sampling for Diffusion processes applied to ISOKANN.

An optional control algorithm, iterative Linear Quadratic Regulator, implementation using Julia.

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

An unofficial interface from Julia to Acados going through Casadi using PyCall

Optimal control problems with loss control: applications

Common methods for quantum control packages