Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

Autonomous Literature Overview

A Formula Student Driverless simulator

A Simulation System for Implementing and Testing Autonomous Racing Algorithms

Implementation of Hierarchical Control for Head-to-Head Autonomous Racing paper

Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"

F1TENTH Sim Racing League using AutoDRIVE Ecosystem

This repository has code of how to train a RNN that can perform overtaking in F1TENTH simulator as well as a dataset I have created

Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture

Playground for programing your self driving car 🚙

A Unity-based quadrotor simulation for AI training, reinforcement learning, and autonomous drone navigation. Features realistic flight physics, ML-Agents integration and Python support.

RoboRacer Sim Racing League using AutoDRIVE Ecosystem

This is the github project for the F1Tenth Independent Study Projects 2021. In this project we want to plan the paths for multi-agent given a prior of an environment like a blueprint of the building’s floor plan.

The AlphaGo for car racing.

Open dataset of Formula Student Driverless racetrack layouts by StarkStrom Augsburg

Comparative research platform for Deep Reinforcement Learning and heuristic controllers in autonomous racing. Benchmarks DRL (PPO) agents against deterministic baselines in Unity MiniKart, with full reproducibility, human-like evaluation, and performance logs.

Display of my skills in optimal control for autonomous race cars

Racing mpc controller

F1TENTH Autonomous Sim-Racing using AutoDRIVE Ecosystem

Autonomous Racing Literature Review