class_docstr: Implement softmax policy for multinimial distribution
  
  Simple Policy
  
  - takes action according to the pobability distribution
class_docstr_tok: ["Implement","softmax","policy","for","multinimial","distribution","Simple","Policy","-","takes","action","according","to","the","pobability","distribution"]
docstr: Return the selected action
  
  # Arguments
      probs (np.ndarray) : Probabilty for each action
  
  # Returns
      action
code: def select_action(self, nb_actions, probs):
      """Return the selected action
  
      # Arguments
          probs (np.ndarray) : Probabilty for each action
  
      # Returns
          action
  
      """
      action = np.random.choice(range(nb_actions), p=probs)
      return action
  
imports: from __future__ import division
  import numpy
  from rl.util import *
label_desc: Use image node_id 1 for calling the SoftmaxPolicy obj's underlying member method code with example usage: obj.select_action(nb_actions, probs) and returns: action