Hi Allmo,
Since you are targeting a micro-controller to deploy code you can generate plain C/C++ code from the trained RL agent following the approaches in https://www.mathworks.com/help/reinforcement-learning/ug/deploy-trained-reinforcement-learning-agents.html. You'll have to use the library-free deep learning configuration object to generate plain C/C++ code as mentioned in https://www.mathworks.com/help/coder/ug/generate-generic-cc-code-for-deep-learning-networks.html :
dlconfig = coder.DeepLearningConfig(TargetLibrary='none');
While the input data to the entry-point function can be of non-single type, the data will always be casted to single precision before invoking the inference method on the network. You can specify the input data to be of single precision so that generated code will only have single precision data without any typecasting.
https://www.mathworks.com/support/search.html/videos/generate-generic-c-c-code-for-deep-learning-networks-in-simulink-1622706081351.html?fq[]=asset_type_name:video&fq[]=category:simulink/index&page=1 will be helpful if you are planning to deploy from Simulink directly.
~Sayan
