Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

Robot Controls Course Project

Visualization tool for the Feynman Path Integral applied to quantum circuits

[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot

Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.

Stochastic Optimal Control in Robotics Project

Repository for Deterministic Particle Flow Control framework

Path integral quantum Monte Carlo

Pigs might just fly.

Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.

This is a Path Integral Ground State Monte Carlo code written in Fortran. It is intended to the description of 4He in three dimensions but it can be easily extended to any other homogeneous or trapped system in any dimensions

Spring

Interactive visualisations for the variational polaron problem with Makie.

numerical simulation with path integral

Variational Feynman Path Generator

Using Nonadiabatic Matsubara (Path-Integral formalism) to predict the charge transfer quantum dynamics.

An optional control algorithm, model predictive path integral (MPPI) control, implementation using Julia.

This repository contains Python implementation Path integral Quantum Monte-Carlo to find the ground state energy of the harmonic oscillator.

Bosons/Fermions Superfluid problem with morden tools.