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MorvanZhou/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
657 145 +0/wk
GitHub
a3c actor-critic asynchronous-advantage-actor-critic gym multiprocessing neural-network pytorch toy-example
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0
Star & Fork Trend (21 data points)
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MorvanZhou/pytorch-A3C has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | pytorch-A3C | d2l-vi | tensor_parallel | NABLA-SciML |
|---|---|---|---|---|
| Stars | 657 | 657 | 656 | 658 |
| Forks | 145 | 254 | 44 | 198 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | MIT | N/A |
Capability Radar vs d2l-vi
pytorch-A3C
d2l-vi
Maintenance Activity 0
Last code push 1126 days ago.
Community Engagement 100
Fork-to-star ratio: 22.1%. 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.