Code that'll help you kickstart a personal website that showcases your work as a software developer.

all practice and test questions along with learnings

Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.

Robust adaptive control of LPV systems

Tube-certified nonlinear tracking with robust control contraction metrics

solver for discrete Mixed Observable Markov Decision Processes

Reactive modelling of the environment behavior for robotic systems with falsification and SVM

Apply reinforcement learning to optimize take-over requests in autonomous driving

A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61, no. 10, pp. 3221–3226, 2016.

Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomou…

Implementation of deep reinforcement learning algorithms based on Keras

A trajectory optimization library for Matlab

R Package for working with radiometric thermal image files and data

Desktop tool for analysis of SEQ/FFF/RJPG thermographs

Code for automatically measuring the temperature of people using a thermal camera.

Data Processing For NGSIM dataset

Path tracking with dynamic bicycle models

RBF Neural Network Adaptive Control

Repo for the Deep Reinforcement Learning Nanodegree program

Examples and Projects based on Skogestad's Multivariable Feedback Control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.

Assignment Solution for Dr. David Silver's Reinforcement Learning Course

Motion planning and collision avoidance using MPC and strong duality

A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier spline

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学