radar-lab/OpenCDA-MARL
A unified benchmarking framework for cooperative autonomous driving with Multi-Agent Reinforcement Learning (MARL) capabilities, extending OpenCDA's full-stack simulation platform with distributed training infrastructure for intelligent multi-agent driving policies under CARLA+SUMO co-simulation.
14
Stars
1
Forks
23.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact2.9
Velocity25.2
Health54.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Popular Alternatives & Competitors
Top projects in the same category (AI Infrastructure) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
23.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.