# Simulated Car Racing Championship: Competition Software Manual

arXiv: https://arxiv.org/abs/1304.1672 · HTML: https://mlsanity.com/paper/1304.1672/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Apr 2013.

## Built on by (most cited first, 8 of 8)

- [Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey](https://mlsanity.com/paper/2408.09675/) (2024)
- [Learn-to-Race: A Multimodal Control Environment for Autonomous Racing](https://mlsanity.com/paper/2103.11575/) (2021)
- [Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data](https://mlsanity.com/paper/2104.11106/) (2021)
- [Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing](https://mlsanity.com/paper/2205.02953/) (2022)
- [Knowledge-Guided Exploration in Deep Reinforcement Learning](https://mlsanity.com/paper/2210.15670/) (2022)
- [Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving](https://mlsanity.com/paper/2109.11280/) (2021)
- [Design of Reward Function on Reinforcement Learning for Automated Driving](https://mlsanity.com/paper/2503.16559/) (2025)
- [Combining Policy Gradient and Safety-Based Control for Autonomous Driving](https://mlsanity.com/paper/2310.13314/) (2023)

## Abstract (arXiv)

This manual describes the competition software for the Simulated Car Racing Championship, an international competition held at major conferences in the field of Evolutionary Computation and in the field of Computational Intelligence and Games. It provides an overview of the architecture, the instructions to install the software and to run the simple drivers provided in the package, the description of the sensors and the actuators.