{"url":"/dataset/torcs","name":"TORCS","full_name":"The Open Racing Car Simulator","description_markdown":"**TORCS** (**The Open Racing Car Simulator**) is a driving simulator. It is capable of simulating the essential elements of vehicular dynamics such as mass, rotational inertia, collision, mechanics of suspensions, links and differentials, friction and aerodynamics. Physics simulation is simplified and is carried out through Euler integration of differential equations at a temporal discretization level of 0.002 seconds. The rendering pipeline is lightweight and based on OpenGL that can be turned off for faster training. TORCS offers a large variety of tracks and cars as free assets. It also provides a number of programmed robot cars with different levels of performance that can be used to benchmark the performance of human players and software driving agents. TORCS was built with the goal of developing Artificial Intelligence for vehicular control and has been used extensively by the machine learning community ever since its inception.\r\n\r\nSource: [MADRaS : Multi Agent Driving Simulator](https://arxiv.org/abs/2010.00993)\r\nImage Source: [https://sourceforge.net/projects/torcs/](https://sourceforge.net/projects/torcs/)","description_withheld":null,"homepage":"https://sourceforge.net/projects/torcs/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"Torcs, the open racing car simulator","first_author":null,"url":"http://torcs.sourceforge.net"},"license":{"name":"GPLv2","url":"https://sourceforge.net/projects/torcs/#:~:License"},"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"},{"name":"Imitation Learning","url":"/task/imitation-learning","datasets_with_task":"/datasets/task/imitation-learning"}],"languages":[],"variants":["TORCS"],"data_loaders":[{"repo":"https://github.com/DSobscure/cgi_drl_platform","url":"https://github.com/DSobscure/cgi_drl_platform","frameworks":["tf"]}],"num_papers_in_archive":96,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}