class_docstr: DQN Agent with masked parameters.
class_docstr_tok: ["DQN","Agent","with","masked","parameters","."]
code: def get_intermediates(self, online_params):
      batch = self._sample_batch_for_statistics()
  
      def apply_data(x):
          filter_rep = (
              lambda l, _: l.name is not None and "act" in l.name
          )
          return self.network_def.apply(
              online_params,
              x,
              capture_intermediates=filter_rep,
              mutable=["intermediates"],
          )
  
      _, state = jax.vmap(apply_data)(batch)
      return state["intermediates"]
  
imports: import functools
  from dopamine.jax import losses
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.labs.redo import networks
  from dopamine.labs.redo import weight_recyclers
  from dopamine.metrics import statistics_instance
  import gin
  import jax
  import jax.numpy
  import optax
label_desc: Use image node_id 6 for calling the RecycledDQNAgent obj's underlying member method code with example usage: obj.get_intermediates(online_params) and returns: state, self