deploy a trained reinforcement learning policy to a speedgoat system for real-time testing. use the capabilities for implementing deep learning inference in simulink® and plain c code generation for deep learning networks to deploy a trained reinforcement learning agent.
in this demo, a pretrained reinforcement learning agent for field-oriented control of a permanent magnet synchronous motor (pmsm) is used to showcase this workflow. refer to "reinforcement learning for field-oriented control of a permanent magnet synchronous motor" to learn how to set up and train an agent for this application.
