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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.

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reiniscimurs/DRL-Robot-Navigation-ROS2

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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.

Topics

deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning obstacle-avoidance sac ros2 robot-navigation obstacle-avoidance-robot td3 td3-pytorch

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