Error in Beginner's Tutorial

[lithiumhydride2]

when i try the example in README.md:

To test, evaluate, and render()

# for a general example 
python3 algos/maTT/run_script.py --mode test --render 1 --log_dir ./results/maTT/setTracking-v0_123456789/seed_0/ --nb_test_eps 50

An error occurred in setTracking_v0.py:

/home/lih/miniconda3/envs/scalableMARL/lib/python3.8/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  if not hasattr(tensorboard, "__version__") or LooseVersion(
/home/lih/桌面/RL/scalableMARL-main/envs/maTTenv/maps/map_utils.py:24: UserWarning: loadtxt: Empty input file: "/home/lih/桌面/RL/scalableMARL-main/envs/maTTenv/maps/emptyMed.cfg"
  self.map = np.loadtxt(map_path+".cfg")
/home/lih/miniconda3/envs/scalableMARL/lib/python3.8/site-packages/gym/spaces/box.py:128: UserWarning: WARN: Box bound precision lowered by casting to float32
  logger.warn(f"Box bound precision lowered by casting to {self.dtype}")
/home/lih/miniconda3/envs/scalableMARL/lib/python3.8/site-packages/gym/core.py:329: DeprecationWarning: WARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.
  deprecation(
Traceback (most recent call last):
  File "algos/maTT/run_script.py", line 207, in <module>
    test(args.seed)
  File "algos/maTT/run_script.py", line 146, in test
    Eval.test(args, env, policy)
  File "/home/lih/桌面/RL/scalableMARL-main/algos/maTT/evaluation.py", line 82, in test
    obs = env.reset(**params)
  File "/home/lih/桌面/RL/scalableMARL-main/envs/maTTenv/display_wrapper.py", line 119, in reset
    return self.env.reset(**kwargs)
  File "/home/lih/桌面/RL/scalableMARL-main/envs/utilities/ma_time_limit.py", line 30, in reset
    return self.env.reset(**kwargs)
  File "/home/lih/桌面/RL/scalableMARL-main/envs/maTTenv/env/setTracking_v0.py", line 120, in reset
    self.agents[ii].reset(init_pose['agents'][ii])
IndexError: list index out of range

And I did not make any changes to the original program

[christopher-hsu]

you first need to train a policy before you can evaluate it.
secondly, this is probably an issue with the test set. if your test set is larger than the number of agents initialized, then it will output this error.