class_docstr: API for policy learners.
code: def __init__(
      self,
      frame_stack_size,
      base_event_dir,
      agent_model_dir,
      total_num_epochs,
  ):
      self.frame_stack_size = frame_stack_size
      self.base_event_dir = base_event_dir
      self.agent_model_dir = agent_model_dir
      self.total_num_epochs = total_num_epochs
  
file_path: tensor2tensor/tensor2tensor/rl/policy_learner.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
label_desc: Use image node_id 1 to create a new PolicyLearner object from inherited base classes: object with example: obj = PolicyLearner(frame_stack_size, base_event_dir, agent_model_dir, total_num_epochs)