# reiniscimurs/DRL-Robot-Navigation-ROS2

<https://repo.masters-masters.com/en/repos/reiniscimurs/DRL-Robot-Navigation-ROS2>

[Home](https://repo.masters-masters.com/en) › [reiniscimurs](https://repo.masters-masters.com/en/owners/reiniscimurs) › [DRL-Robot-Navigation-ROS2](https://repo.masters-masters.com/en/repos/reiniscimurs/DRL-Robot-Navigation-ROS2)

reiniscimurs/DRL-Robot-Navigation-ROS2 has 251 stars on GitHub. Its RepoMasters card: Alpha tier. Deep Reinforcement Learning for mobile robot navigation in…

| Field | Value |
| --- | --- |
| Owner | [reiniscimurs](https://repo.masters-masters.com/en/owners/reiniscimurs) |
| Stars | 251 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | deep-learning, deep-neural-networks, deep-reinforcement-learning, obstacle-avoidance, obstacle-avoidance-robot, reinforcement-learning, robot-navigation, ros2, sac, td3 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [reiniscimurs/DRL-Robot-Navigation-ROS2](https://github.com/reiniscimurs/DRL-Robot-Navigation-ROS2) |

## Repository

Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by reiniscimurs

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.