class_docstr: An exploration policy takes the predicted actions or action values from the agent, and selects the action to
  actually apply to the environment using some predefined algorithm.
docstr: Change between running phases of the algorithm
  :param phase: Either Heatup or Train
  :return: none
docstr_tok: ["Change","between","running","phases","of","the","algorithm",":","param","phase",":","Either","Heatup","or","Train",":","return",":","none"]
code: def change_phase(self, phase):
      """
      Change between running phases of the algorithm
      :param phase: Either Heatup or Train
      :return: none
      """
      self.phase = phase
  
imports: from typing import List
  from rl_coach.base_parameters import Parameters
  from rl_coach.core_types import RunPhase, ActionType
  from rl_coach.spaces import ActionSpace, DiscreteActionSpace, BoxActionSpace, GoalsSpace
label_desc: Use image node_id 4 for calling the ExplorationPolicy obj's underlying member method code with example usage: obj.change_phase(phase) without return types