Using the Udacity self driving car simulator, the goal was to create a deep learning model that would be trained off of a human driving around the track that would predict steering angles from the image data that is collected. In this simulation, I used a model created by Nvidia's self driving car team. The link to the model can be seen here: https://devblogs.nvidia.com/deep-learning-self-driving-cars/.
This is a simple project that teaches a cheetah how to run. It utilizes the Augmented Random Search algorithm based on a paper by Horia Mania, Aurelia Guy, and Benjamin Rect at Berkeley. https://arxiv.org/pdf/1803.07055.pdf. This was a small project just for learning purposes.
This is a repository that I have been working on a bit that takes a few different reinforcement learning alorithms together looking at how they perform in deferent environments. There are a few algorithms that range from basic reinforcement learning to complex algorithms that utilize computer vision to solve problems.
The portfolio project is refering to this website. I decided to pick up this project in order to learn new skills and show off my talents. I learned more about react and how it works, and I learned about Gatsby. This project showcases some of my work throughout the years while at the same time will help me improve current and new skills.
