PA
ikostrikov/pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
1.3k 282 +0/wk
GitHub
a3c actor-critic asynch asynchronous-advantage-actor-critic asynchronous-methods deep-learning deep-reinforcement-learning python pytorch pytorch-a3c reinforcement-learning
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ikostrikov/pytorch-a3c 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 | pytorch-a3c | ghost-os | claude-workflow-v2 | rl_games |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 282 | 111 | 187 | 205 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Swift | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs ghost-os
pytorch-a3c
ghost-os
Maintenance Activity 0
Last code push 2387 days ago.
Community Engagement 100
Fork-to-star ratio: 21.3%. 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.