hunk.code_window:     Args:
           project_path (str): Directory where experiments are located.
               Corresponds to Experiment.local_dir.
           sort (str): Key to sort by.
           info_keys (list): Keys that are displayed.
       """
       _check_tabulate()
       base, experiment_folders, _ = next(os.walk(project_path))
  
hunk.labels: keep keep keep keep add keep keep keep keep keep
hunk.after_edit:         output (str): Name of file where output is saved.
  
hunk.file_path: python/ray/tune/commands.py
hunk.type: add
file: # Runs on a single g3.16xl AWS machine
  apex:
      env:
          grid_search:
              - BreakoutNoFrameskip-v4
              - BeamRiderNoFrameskip-v4
              - QbertNoFrameskip-v4
              - SpaceInvadersNoFrameskip-v4
      run: APEX
      config:
          double_q: false
          dueling: false
          num_atoms: 1
          noisy: false
          n_step: 3
          lr: .0001
          adam_epsilon: .00015
          hiddens: [512]
          buffer_size: 1000000
          schedule_max_timesteps: 2000000
          exploration_final_eps: 0.01
          exploration_fraction: .1
          prioritized_replay_alpha: 0.5
          beta_annealing_fraction: 1.0
          final_prioritized_replay_beta: 1.0
          num_gpus: 1
  
          # APEX
          num_workers: 8
          num_envs_per_worker: 8
          sample_batch_size: 20
          train_batch_size: 512
          target_network_update_freq: 50000
          timesteps_per_iteration: 25000
  