class_docstr: An implementation of the DQN agent.
class_docstr_tok: ["An","implementation","of","the","DQN","agent","."]
docstr: Resets the agent state by filling it with zeros.
docstr_tok: ["Resets","the","agent","state","by","filling","it","with","zeros","."]
code: def _reset_state(self):
      """Resets the agent state by filling it with zeros."""
      self.state.fill(0)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import os
  import random
  from absl import logging
  from dopamine.discrete_domains import atari_lib
  from dopamine.replay_memory import circular_replay_buffer
  import gin.tf
  import numpy
  import tensorflow
label_desc: Use image node_id 15 for calling the DQNAgent obj's underlying member method code with example usage: obj._reset_state() without return types