Optimal Importance Sampling for Diffusion processes applied to ISOKANN.

MHMiLQR.jl - Minimal Hessian Modification iLQR

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

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

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

Data Processing and Simulation Tools for Networked SIR+

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

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

Flows: classical, Hamiltonian, from OCP and more

Optimal control problems with loss control: applications

Optimal epidemic control by deep learning techniques

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

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

Common methods for quantum control packages

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

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

Julia implementation of Krotov's method for quantum optimal control

Efficient Handling of Trajectories with User Defined Named Components

Like reinforcement learning, but it works in practice