Applying MeanStdFilter before forward inference

How severe does this issue affect your experience of using Ray?

  • High: It blocks me to complete my task.

I have the same issue as 15748. So instead I am using RLModule.forward_inference() in place of Algorithm.compute_single_action(), as shown in the example here.

How can I access the MeanStdFilter (and presumably the entire connector) to preprocess the observations with the stored statistics before passing them to the RLModule?

Before, it was something like algorithm.workers.local_worker().filters['default_policy'].

Thank you.