class_docstr: Base class for Meta-RL Algorithms.
class_docstr_tok: ["Base","class","for","Meta-RL","Algorithms","."]
docstr: Return a policy used before adaptation to a specific task.
  
  Each time it is retrieved, this policy should only be evaluated in one
  task.
  
  Returns:
      Policy: The policy used to obtain samples, which are later used for
          meta-RL adaptation.
docstr_tok: ["Return","a","policy","used","before","adaptation","to","a","specific","task",".","Each","time","it","is","retrieved",",","this","policy","should","only","be","evaluated","in","one","task",".","Returns",":","Policy",":","The","policy","used","to","obtain","samples",",","which","are","later","used","for","meta-RL","adaptation","."]
code: def get_exploration_policy(self):
      """Return a policy used before adaptation to a specific task.
  
      Each time it is retrieved, this policy should only be evaluated in one
      task.
  
      Returns:
          Policy: The policy used to obtain samples, which are later used for
              meta-RL adaptation.
  
      """
  
imports: import abc
  from garage.np.algos.rl_algorithm import RLAlgorithm
label_desc: Use image node_id 1 for calling the MetaRLAlgorithm obj's underlying member method code with example usage: obj.get_exploration_policy() without return types