class_docstr: Implement the epsilon greedy policy
  
  Eps Greedy policy either:
  
  - takes a random action with probability epsilon
  - takes current best action with prob (1 - epsilon)
class_docstr_tok: ["Implement","the","epsilon","greedy","policy","Eps","Greedy","policy","either",":","-","takes","a","random","action","with","probability","epsilon","-","takes","current","best","action","with","prob","(","1","-","epsilon",")"]
docstr: Return configurations of EpsGreedyQPolicy
  
  # Returns
      Dict of config
code: def get_config(self):
      """Return configurations of EpsGreedyQPolicy
  
      # Returns
          Dict of config
      """
      config = super(EpsGreedyQPolicy, self).get_config()
      config["eps"] = self.eps
      return config
  
imports: from __future__ import division
  import numpy
  from rl.util import *
label_desc: Use image node_id 3 for calling the EpsGreedyQPolicy obj's underlying member method code with example usage: obj.get_config() and returns: config