HO
kchua/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
471 100 +0/wk
GitHub
model-based-rl reinforcement-learning
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
kchua/handful-of-trials 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 | handful-of-trials | OpenContext | gill | HistomicsTK |
|---|---|---|---|---|
| Stars | 471 | 471 | 471 | 470 |
| Forks | 100 | 29 | 38 | 127 |
| Weekly Growth | +0 | +0 | -1 | +1 |
| Language | Python | JavaScript | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs OpenContext
handful-of-trials
OpenContext
Maintenance Activity 0
Last code push 1007 days ago.
Community Engagement 100
Fork-to-star ratio: 21.2%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.