majid-mazouchi
Postdoctoral research associate and control system engineer, working in the department of Mechanical Engineering at Michigan State University.
Michigan State UniversityMichigan, USA
majid-mazouchi's Stars
HJReachability/Tracking
HJReachability/safety_rl
CoppeliaRobotics/scenes
Default scenes for CoppeliaSim
microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
tatsuyah/Model-Predictive-Control
C++ implementation of Model Predictive Control(MPC)
NikolasEnt/Model-Predictive-Control
Udacity Self-Driving Car Engineer Nanodegree. Project: Model Predictive Control
mithi/mpc
A software pipeline using the Model Predictive Control method to drive a car around a virtual track.
ros-controls/ros2_control
Generic and simple controls framework for ROS 2
giacomo-b/CppRobotics
Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
ethz-adrl/control-toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
jasour/rarnop19
MIT 16.S498: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour
jasour/Probabilistic-and-Robust-Tube-based-Control
Tube-based Control of Uncertain Nonlinear Autonomous Systems
jasour/Risk-Bounded-Continuous-Time-Trajectory-Planning
RSS 2021: Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
jasour/Nonlinear-Risk-Assessment-in-Julia
Probability of Satisfying Nonlinear Safety Constraints
jasour/Chance-Constrained-Sets
Semidefinite Programming for Chance Constrained Optimization
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
varadbhogayata/varadbhogayata.github.io
My Portfolio - Personal Website
DecodEPFL/SafeMinRegret
Code to reproduce the result of the paper "Safe Control with Minimal Regret", by Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros and Giancarlo Ferrari-Trecate
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
qhull/qhull
Qhull development for www.qhull.org -- Qhull 2020.2 (8.1-alpha1) at https://github.com/qhull/qhull/wiki
HiroIshida/robust-tube-mpc
Example implementation for robust model predictive control using tube
cddlib/cddlib
An efficient implementation of the Double Description Method
sreachtools/SReachTools
MATLAB toolbox for stochastic reachability (probabilistic verification and controller synthesis)
ajthor/socks
:socks: Stochastic Optimal Control and Reachability Toolbox Written in Python
BluSTL/BluSTL
BluSTL (pronounced "blue steel") is a MATLAB toolkit for automatically generating hybrid controllers from specifications written in Signal Temporal Logic.