text: from runner.run_description import RunDescription, Experiment, ParamGrid
  from runner.runs.quad_multi_mix_baseline import QUAD_BASELINE_CLI
  
  _params = ParamGrid([
      ('seed', [1111, 2222, 3333, 4444]),
      ('quads_obstacle_mode', ['dynamic']),
      ('quads_obstacle_num', [1]),
      ('quads_obstacle_type', ['sphere']),
      ('quads_obstacle_traj', ['mix']),
      ('quads_collision_obstacle_reward', [5.0]),
      ('quads_obstacle_obs_mode', ['absolute']),
      ('quads_collision_obst_smooth_max_penalty', [10.0]),
      ('quads_obstacle_hidden_size', [256]),
      ('replay_buffer_sample_prob', [0.0]),
      ('quads_obst_penalty_fall_off', [10.0]),
  ])
  
  _experiment = Experiment(
      'quad_mix_baseline_obst_mix-8a',
      QUAD_BASELINE_CLI,
      _params.generate_params(randomize=False),
  )
  
  RUN_DESCRIPTION = RunDescription('quads_multi_mix_obst_mix_8a_v115', experiments=[_experiment])
  
  # On Brain server, when you use num_workers = 72, if the system reports: Resource temporarily unavailable,
  # then, try to use two commands below
  # export OMP_NUM_THREADS=1
  # export USE_SIMPLE_THREADED_LEVEL3=1
  
  # Command to use this script on server:
  # xvfb-run python -m runner.run --run=quad_multi_mix_baseline_obstacle_mix --runner=processes --max_parallel=4 --pause_between=1 --experiments_per_gpu=1 --num_gpus=4
  # Command to use this script on local machine:
  # Please change num_workers to the physical cores of your local machine
  # python -m runner.run --run=quad_multi_mix_baseline_obstacle_mix --runner=processes --max_parallel=4 --pause_between=1 --experiments_per_gpu=1 --num_gpus=4
  