DRL-robot-navigation
by reiniscimurs (personal account)
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. (description from the project’s GitHub page)
Repository facts
- Stars
- 1,377
- Forks
- 195
- Open issues and pull requests
- 63
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- reiniscimurs · Personal account
- Created
- Oct 25, 2021
- Last push
- Dec 13, 2025
Topics
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