I am software engineer at Acutronic Robotics and I would like to present our latest open-sourced work. We have released gym-gazebo2, an upgraded, real world application oriented version of gym-gazebo, the ROS and Gazebo based Reinforcement Learning (RL) toolkit, which complies with OpenAI’s Gym. This time fully focused on ROS2.
We have also released ROS2Learn, a novel framework for Deep Reinforcement Learning (DRL) in modular robotics, which uses the environments created in gym-gazebo2. We are including training scripts and creating tutorials so that anyone can replicate and improve our results.
The following tutorials will help you get an idea of what you can achieve using our tools.
Join the discussion on reddit or share your thoughts below! We invite everyone in the community to provide us feedback and contribute to both of the projects.