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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.
MIT License
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train #101

Closed 1390806607 closed 2 months ago

1390806607 commented 5 months ago

Hello, can the code be trained on jetson nano b01

reiniscimurs commented 5 months ago

Hi,

Have not tried it so I wouldn't know. The trained model can be deployed on jetson nano devices though.