reiniscimurs/DRL-robot-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
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reiniscimurs/DRL-robot-navigation has +1 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | DRL-robot-navigation | agi | PyTorch-RL | powerful-gnns |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 190 | 141 | 191 | 226 |
| Weekly Growth | +1 | +1 | +0 | +0 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs agi
Last code push 116 days ago.
Fork-to-star ratio: 14.9%. Active community forking and contributing.
Issue data not yet available.
+1 stars this period — 0.08% growth rate.
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.