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"

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

Playground for programing your self driving car 🚙

F1TENTH Sim Racing League using AutoDRIVE Ecosystem

Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture

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

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.

Open dataset of Formula Student Driverless racetrack layouts by StarkStrom Augsburg

The AlphaGo for car racing.

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

TI MSP432 programmed using embedded C to control an autonoumous 1/18-scale car to navigate a randomized track. Final project for RIT CMPE-460 IDE.

No description provided.

RRT Implementation used for GRAIC Racing Competition

End-to-end autonomous racing pipeline and testbed for autonomous learning, featuring distributed training and real-time control

Simple path sampling implementation

Luca Albinescu's Dissertation Project for Newcastle University. This project uses code from multiple sources in order to create a combined Imitation and Reinforcement Learning Agent that can drive autonomously inside the f1tenth (gym) simulated environment.

Simulator for CAD2CAV Project.

Vision-based autonomous racing system comparing PPO, DQN, and GAIL with custom reward shaping across CarRacing-v3 and TORCS simulators

On-board part of Project CAD2CAV: Computer Aided Design for Cooperative Autonomous Vehicles

No description provided.

Next-gen F1 race strategy optimizer & telemetry analysis. AI agents, sub-ms processing, quantum-resistant. Rust+WASM+MCP for F1, sim racing, autonomous racing (A2RL). $2.7B market.

SAC reinforcement learning agent for autonomous racing with occupancy grid maps