parameters: (state_curr, args, node="pi")
return_statement: return sample_multinomial(state_curr, args, node=node, greedy=True)
docstring: epsilon greedy sampling
  
      Args:
          state_curr(dict): current state containing all data
          args(dict): customized arguments for sampling. `epsilon` is used
          node(str): name string for policy, default is "pi"
  
      Returns:
          A list of actions using epsilon greedy sampling.
docstring_summary: epsilon greedy sampling
docstring_tokens: epsilon greedy sampling
function: def epsilon_greedy(state_curr, args, node="pi"):
      ''' epsilon greedy sampling
  
      Args:
          state_curr(dict): current state containing all data
          args(dict): customized arguments for sampling. `epsilon` is used
          node(str): name string for policy, default is "pi"
  
      Returns:
          A list of actions using epsilon greedy sampling.
      '''
      return sample_multinomial(state_curr, args, node=node, greedy=True)
function_tokens: def epsilon_greedy ( state_curr , args , node = "pi" ) : return sample_multinomial ( state_curr , args , node = node , greedy = True )