Scalable Multi-Agent RL Training School for Autonomous Driving
Simulate and research multi-agent interactions for autonomous driving using a training platform.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeScalable Multi-Agent RL Training School for Autonomous Driving
SMARTS has 1.1k stars on GitHub. It has been forked 220 times. SMARTS is written mainly in Python. It has been in active development since 2020. SMARTS is available under the MIT license. Its main topics are autonomous-driving, python, reinforcement-learning, simulator.
Scalable Multi-Agent RL Training School for Autonomous Driving
SMARTS is an open-source project. It is released under the MIT license.
Yes. SMARTS is free and open source — you can use, modify and self-host it.
SMARTS is available under the MIT license.
SMARTS is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/huawei-noah-smarts.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.