How to train a SAC agent with the offline API?


If I want to store training data for a SAC trainer with a SampleBatchBuilder, what data do I have to pass to each call to add values()?

Hey @trustee , thanks for posting this question. I think this example here would answer your question:

Once that’s done, you can train your SAC agent also with mixed input, like so:

       [location (str) of your json output files from the SampleBatchBuilder example above]: 0.5,
       sampler: 0.5,

This would use the actual env (sampler) 50% of the time and 50% of the SAC training data would be taken from the json file. Just an example, you can set the ratios to different values, of course.