class_docstr: A TD3 Agent.
class_docstr_tok: ["A","TD3","Agent","."]
docstr: Initialize the agent.
  
  Copies weights from the actor and critic networks to the respective
  target actor and critic networks.
docstr_tok: ["Initialize","the","agent",".","Copies","weights","from","the","actor","and","critic","networks","to","the","respective","target","actor","and","critic","networks","."]
code: def _initialize(self):
      """Initialize the agent.
  
      Copies weights from the actor and critic networks to the respective
      target actor and critic networks.
      """
      common.soft_variables_update(
          self._critic_network_1.variables,
          self._target_critic_network_1.variables,
          tau=1.0,
      )
      common.soft_variables_update(
          self._critic_network_2.variables,
          self._target_critic_network_2.variables,
          tau=1.0,
      )
      common.soft_variables_update(
          self._actor_network.variables,
          self._target_actor_network.variables,
          tau=1.0,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from typing import Optional, Text
  import gin
  import tensorflow
  import tensorflow_probability
  from tf_agents.agents import data_converter
  from tf_agents.agents import tf_agent
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import gaussian_policy
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import common
  from tf_agents.utils import eager_utils
  from tf_agents.utils import nest_utils
  from tf_agents.utils import object_identity
label_desc: Use image node_id 2 for calling the Td3Agent obj's underlying member method code with example usage: obj._initialize() without return types