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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_create_agent(agent_kwargs):
 """Factory for dopamine agent initialization. Args: agent_kwargs: dict of BatchDQNAgent parameters Returns: Function(sess, environment, summary_writer) -> BatchDQNAgent instance. """


  def create_agent(sess, environment, summary_writer=None):
    """Creates a DQN agent.

    Simplified version of `dopamine.discrete_domains.train.create_agent`

    Args:
      sess: a session
      environment: an environment
      summary_writer: a summary writer.

    Returns:
      a DQN agent.
    """
    return BatchDQNAgent(
        env_batch_size=environment.batch_size,
        sess=sess,
        num_actions=environment.action_space.n,
        summary_writer=summary_writer,
        tf_device="/gpu:*",
        **agent_kwargs)

  return create_agent