Dear ROS Community,
I am going to start the task of migrating gym-gazebo to ROS2, give it a new structure and test it with the MARA.
In case you don’t know about gym-gazebo, it is basically a toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo. A few robots have been successfully tested in this environment, but the community has focused particularly in the Turtlebot. A couple example videos of this robot: qlearn-sarsa, running an already trained nn. I invite you to also take a look at the github repo.
Everything here is ROS1 based and the general structure is not very convenient. The goal is to migrate to ROS2 and use the under development ros2 version of the gazebo_ros_pkgs. Once this is completed, installation and usage tutorials will be created for the community.
Please feel free to share your thoughts, specially if you are familiar with the ros2 gazebo_ros_pkgs branch. Take a look at the discussion issue for a more technical debate and share your interest if you want to get involved in the project!