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: Used for resetting the exploration policy parameters when needed
  :return: None
docstr_tok: ["Used","for","resetting","the","exploration","policy","parameters","when","needed",":","return",":","None"]
code: def reset(self):
      """
      Used for resetting the exploration policy parameters when needed
      :return: None
      """
      pass
  
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 2 for calling the ExplorationPolicy obj's underlying member method code with example usage: obj.reset() without return types