How to create an custom Reinforcement Learning Environment + DDPG agent from ROS environment
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Hi,
I´m working on an Agent for a control problem with wam-v (wam-v is a catamaran boat with sensors and cotroller that allow me to make it autonomous). I already wrote a code to control the wam-v in ROS GAZEBO environment which simulate all the forces, waves and mass for the wam-v. Currently, I want to use the matlab RL toolbox to build a DDPG agent to create the autonomy. How can I use the functions that I already wrote as input and output to build a custom matlab environment to train the agent?
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Asvin Kumar
2021-2-12
I don't know these toolboxes well enough to answer your question.
If you haven't seen these pages, they might give you a start.
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