text: from d3rlpy.algos import DiscreteSAC
  from d3rlpy.online.buffers import ReplayBuffer
  from d4rl_atari.envs import AtariEnv
  
  # get wrapped atari environment
  env = AtariEnv('Breakout',
                 stack=False,
                 clip_reward=True,
                 terminate_on_life_loss=True)
  
  eval_env = AtariEnv('Breakout',
                      stack=False,
                      clip_reward=False,
                      terminate_on_life_loss=False)
  
  # setup algorithm
  sac = DiscreteSAC(scaler='pixel', n_frames=4, use_gpu=True)
  
  # replay buffer for experience replay
  buffer = ReplayBuffer(maxlen=1000000, env=env)
  
  # start training
  sac.fit_online(env,
                 buffer,
                 eval_env=eval_env,
                 eval_epsilon=0.01,
                 n_steps=1000000,
                 n_steps_per_epoch=10000,
                 update_interval=4,
                 update_start_step=20000)
  