Hello everyone,
I’m currently working on a project involving the simulation of a wheeled robot using Gazebo within the ROS2 ecosystem. My goal is to implement Q-Learning to control the robot’s operations.
However, I’ve encountered some challenges in finding relevant examples or tutorials online. Most of the resources I’ve come across, particularly those related to gym-gazebo2, focus on robotic arms rather than wheeled robots.
Could anyone point me to examples, tutorials, or any resources that specifically cover Q-Learning with wheeled robots in ROS2 and Gazebo? Any help or guidance would be greatly appreciated as I continue to explore this topic.
Thank you in advance for your assistance!