class_docstr: Q-learning agent with tabular representation.
class_docstr_tok: ["Q-learning","agent","with","tabular","representation","."]
docstr: Setup before evaluation.
docstr_tok: ["Setup","before","evaluation","."]
code: def enter_evaluation(self):
      """Setup before evaluation."""
      self._epsilon = 0
  
file_path: CNTK/bindings/python/cntk/contrib/deeprl/agent/tabular_qlearning.py
imports: import copy
  import numpy
  from .agent import AgentBaseClass
  from .shared.qlearning_parameters import QLearningParameters
label_desc: Use image node_id 8 for calling the TabularQLearning obj's underlying member method code with example usage: obj.enter_evaluation() without return types