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Rafael1s/Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
1k 231 +0/wk
GitHub
a2c antbulletenv bipedalwalker carracing cartpole ddpg deep-reinforcement-learning deep-rl-algorithms dqn dqn-ppo-ddpg github-udacity halfcheetahbulletenv
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Rafael1s/Deep-Reinforcement-Learning-Algorithms has +0 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | Deep-Reinforcement-Learning-Algorithms | ML2021-Spring | Awesome-Open-Vocabulary | tensornets |
|---|---|---|---|---|
| Stars | 1k | 1k | 999 | 1.0k |
| Forks | 231 | 344 | 44 | 179 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | N/A | MIT |
Capability Radar vs ML2021-Spring
Deep-Reinforcement-Learning-Algorithms
ML2021-Spring
Maintenance Activity 0
Last code push 1756 days ago.
Community Engagement 100
Fork-to-star ratio: 23.1%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.