GraphCanon updated Sep 25, 2026 · GitHub synced Sep 25, 2026
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Decision brief
L2R is an open-source platform for reinforcement learning in autonomous racing simulators.
Good fit when
- When your project includes developing AI systems for autonomous vehicle simulation with a focus on racing environments
- For researchers needing a validated environment showcased at major AI conferences like ICCV and IJCAI
Avoid when
- When your project does not involve autonomous driving or is not specifically focused on the simulation of racing scenarios
- For those who cannot meet the hardware requirements, such as lacking a suitable Nvidia GPU for running the simulator
- Requirements:
- Requires Docker; Requires Python 3.8 or higher; Nvidia graphics card and associated drives are necessary, with minimum recommendation of an Nvidia 970 GTX for simulator operation; Installation assumes a Linux operating system. For non-Linux environments, a public cloud instance with GPU is suggested
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1009d since push)
- As of Sep 25, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 25, 2026
- Security (OSV)
- 118 low (118 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install l2rSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An open-source toolset for developing AI systems in the context of autonomous racing via reinforcement learning techniques.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 25, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 25, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 25, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 25, 2026)
**Python:** We use Learn-to-Race with Python 3.8+.Source link
Tags
README
Requirements Python: We use Learn to Race with Python 3.8+. Graphics Hardware: An Nvidia graphics card & associated drives is required. An Nvidia 970 GTX graphics card is minimally sufficient to simply run the simulator, but a better card is recommended. Docker: Commonly, the rac...
For agents
This page has a .md twin and JSON over the API.