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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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Owner	reiniscimurs
License (as declared)	MIT
Stars	1,378
Forks	195
Main language	Python
Created	25 October 2021
Last updated at source	13 December 2025

pythondeep-learningdeep-reinforcement-learninggazeboobstacle-avoidanceobstacle-avoidance-robotreinforcement-learningrobot-navigationrostd3

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