DR
google-deepmind/disco_rl
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
673 54 +0/wk
GitHub
ai meta-learning nature reinforcement-learning reinforcement-learning-algorithms
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
google-deepmind/disco_rl has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | disco_rl | stock-prediction-deep-neural-learning | ClawBio | irl-imitation |
|---|---|---|---|---|
| Stars | 673 | 673 | 673 | 672 |
| Forks | 54 | 125 | 122 | 147 |
| Weekly Growth | +0 | +0 | +16 | +0 |
| Language | Python | Jupyter Notebook | HTML | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | CC0-1.0 | MIT | N/A |
Capability Radar vs stock-prediction-deep-neural-learning
disco_rl
stock-prediction-deep-neural-learning
Maintenance Activity 31
Last code push 127 days ago.
Community Engagement 40
Fork-to-star ratio: 8.0%. Lower fork ratio may indicate passive usage.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.