CO
tinkoff-ai/CORL
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
1.3k 164 +0/wk
GitHub
d4rl gym offline-reinforcement-learning reinforcement-learning
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tinkoff-ai/CORL has +0 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | CORL | must-read-papers-for-ml | budgetml | SLM-Lab |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 164 | 181 | 65 | 288 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | MIT |
Capability Radar vs must-read-papers-for-ml
CORL
must-read-papers-for-ml
Maintenance Activity 0
Last code push 980 days ago.
Community Engagement 61
Fork-to-star ratio: 12.2%. 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.