class_docstr: A Policy that has acts randomly and has stateful view requirements.
class_docstr_tok: ["A","Policy","that","has","acts","randomly","and","has","stateful","view","requirements","."]
code: def is_recurrent(self):
      return True
  
imports: import numpy
  import tree
  from gymnasium.spaces import Box
  from ray.rllib.core.models.base import STATE_OUT
  from ray.rllib.core.rl_module.rl_module import RLModuleConfig
  from ray.rllib.examples.policy.random_policy import RandomPolicy
  from ray.rllib.examples.rl_module.episode_env_aware_rlm import StatefulRandomRLModule
  from ray.rllib.policy.policy import Policy
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.view_requirement import ViewRequirement
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.numpy import convert_to_numpy
label_desc: Use image node_id 2 for calling the StatefulRandomPolicy obj's underlying member method code with example usage: obj.is_recurrent() and returns: True