DQ
AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
497 156 +0/wk
GitHub
deep-reinforcement-learning q-learning sumo traffic traffic-light-controller traffic-signal
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control has +0 stars this period . 7-day velocity: 0.2%.
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| Metric | Deep-QLearning-Agent-for-Traffic-Signal-Control | ofxDarknet | ProphitBet-Soccer-Bets-Predictor | local-attention |
|---|---|---|---|---|
| Stars | 497 | 497 | 497 | 498 |
| Forks | 156 | 89 | 155 | 49 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs ofxDarknet
Deep-QLearning-Agent-for-Traffic-Signal-Control
ofxDarknet
Maintenance Activity 30
Last code push 127 days ago.
Community Engagement 100
Fork-to-star ratio: 31.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.