BP
google-research/batch-ppo
Efficient Batched Reinforcement Learning in TensorFlow
975 148 +0/wk
GitHub
artificial-intelligence control multi-processing python reinforcement-learning tensorflow vectorized-computation
Trend
0
Star & Fork Trend (26 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
google-research/batch-ppo has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | batch-ppo | awesome-active-learning | efficient-dl-systems | adk-js |
|---|---|---|---|---|
| Stars | 975 | 975 | 975 | 976 |
| Forks | 148 | 87 | 149 | 113 |
| Weekly Growth | +0 | +1 | +0 | -2 |
| Language | Python | N/A | Jupyter Notebook | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | Apache-2.0 |
Capability Radar vs awesome-active-learning
batch-ppo
awesome-active-learning
Maintenance Activity 0
Last code push 2645 days ago.
Community Engagement 76
Fork-to-star ratio: 15.2%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.