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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.

Owner: reiniscimurs (personal account)
Stars: Stars: 1,378
Forks: Forks: 195
Language: Python
License: MIT
Created: 2021
Topics: deep-reinforcement-learningdeep-learningrobot-navigationtd3rosgazeboobstacle-avoidanceobstacle-avoidance-robotreinforcement-learning
Tier: Beta (700 to 1,999 ★) What this tier means

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reiniscimurs/DRL-Robot-Navigation-ROS2Stars: 251PythonAlpha
reiniscimurs/GDAEStars: 199PythonPrototype

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