RL
ai4co/rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
845 143 +0/wk
GitHub
attention attention-model benchmark combinatorial-optimization cvrp electronic-design-automation hydra neural-combinatorial-optimization operations-research pytorch-lightning reinforcement-learning scheduling
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ai4co/rl4co has +0 stars this period . 7-day velocity: 0.4%.
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Signal-backed technical analysis will be available soon.
| Metric | rl4co | awesome-autoresearch | optuna-examples | evalml |
|---|---|---|---|---|
| Stars | 845 | 844 | 844 | 846 |
| Forks | 143 | 66 | 195 | 93 |
| Weekly Growth | +0 | +5 | +0 | +0 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | CC0-1.0 | MIT | BSD-3-Clause |
Capability Radar vs awesome-autoresearch
rl4co
awesome-autoresearch
Maintenance Activity 60
Last code push 76 days ago.
Community Engagement 85
Fork-to-star ratio: 16.9%. 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.