class_docstr: A Policy that always knows the current EpisodeID and EnvID and
  returns these in its actions.
class_docstr_tok: ["A","Policy","that","always","knows","the","current","EpisodeID","and","EnvID","and","returns","these","in","its","actions","."]
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 3 for calling the EpisodeEnvAwareAttentionPolicy obj's underlying member method code with example usage: obj.is_recurrent() and returns: True