In this environment, two agents control rackets to bounce a ball over a net

This project contains 20 identical agents, each with its own copy of the environment.

Using Deep Q-Networks algorithm train an agent to navigate and collect bananas

Semantic Segmentation Project (Advanced Deep Learning)

Udacity Self-Driving Car Nanodegree - Path Planning Project

Create a MPC Controller by C++

Utilized an Unscented Kalman Filter to estimate the state of a moving object of interest with noise.

PID Controller Project

Kidnapped Vehicle Project

Utilized a Kalman Filter to estimate the state of a moving object of interest with noise

To detect vehicles in a video

In this project, you'll build your first neural network and use it to predict daily bike rental ridership.

Finding Lane Lines on the Road

Build a Traffic Sign Recognition Program

Driving the car autonomously around the track

To identify the lane boundaries in a video