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.
I'm the beginner of this kind of works so I want to try to run your code in the real world but hard to try could u give me soem tips to run this code on the real turtlebot?
Sorry, this is a very vague question. I can only try to answer questions regarding specific problems so I don't think I can help you at this stage. Best of luck!
I'm the beginner of this kind of works so I want to try to run your code in the real world but hard to try could u give me soem tips to run this code on the real turtlebot?