class_docstr: Base class for defining an agent.
docstr: Choose action for given observation without updating agent's status.
  
  Args:
      o (object): observation provided by the environment.
  
  Returns:
      action (int): action choosen by agent.
docstr_tok: ["Choose","action","for","given","observation","without","updating","agent","'s","status",".","Args",":","o","(","object",")",":","observation","provided","by","the","environment",".","Returns",":","action","(","int",")",":","action","choosen","by","agent","."]
code: def evaluate(self, o):
      """
      Choose action for given observation without updating agent's status.
  
      Args:
          o (object): observation provided by the environment.
  
      Returns:
          action (int): action choosen by agent.
      """
      a, _ = self._choose_action(self._preprocess_state(o))
      return a
  
imports: from abc import ABCMeta, abstractmethod
  import numpy
  from importlib import import_module
  from .shared.discretize import BoxSpaceDiscretizer
label_desc: Use image node_id 10 for calling the AgentBaseClass obj's underlying member method code with example usage: obj.evaluate(o) and returns: a