# reiniscimurs/DRL-robot-navigation-IR-SIM

<https://repo.masters-masters.com/en/repos/reiniscimurs/DRL-robot-navigation-IR-SIM>

[Home](https://repo.masters-masters.com/en) › [reiniscimurs](https://repo.masters-masters.com/en/owners/reiniscimurs) › [DRL-robot-navigation-IR-SIM](https://repo.masters-masters.com/en/repos/reiniscimurs/DRL-robot-navigation-IR-SIM)

reiniscimurs/DRL-robot-navigation-IR-SIM has 374 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 | 374 |
| Forks | 60 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Topics | drl, drl-pytorch, obstacle-avoidance, obstacle-avoidance-robot, ppo, ppo-pytorch, robot-navigation, sac, sac-pytorch, td3 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [reiniscimurs/DRL-robot-navigation-IR-SIM](https://github.com/reiniscimurs/DRL-robot-navigation-IR-SIM) |

## Repository

Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) 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.

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