Centralized paradigm benchmark custom_preprocessor error

[nkaslin]

High Level Description
I am in the process of running the marl_benchmarks. Training and evaluation works for the decentralized paradigm. I would also like to run it for the centralized paradigm to compare performances.

Desired SMARTS version
0.4.17

Operating System
ubuntu 18.04

Problems
When I run the training with the centralized paradigm, it gives me the following error:
command: python run.py scenarios/double_merge/nocross -f marl_benchmark/agents/ppo/baseline-lane-control.yaml --num_workers 2 --headless --paradigm centralized

error:

Failure # 1 (occurred at 2022-01-11_19-08-17)
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/ray/tune/trial_runner.py", line 890, in _process_trial
results = self.trial_executor.fetch_result(trial)
File "/usr/local/lib/python3.7/dist-packages/ray/tune/ray_trial_executor.py", line 788, in fetch_result
result = ray.get(trial_future[0], timeout=DEFAULT_GET_TIMEOUT)
File "/usr/local/lib/python3.7/dist-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/ray/worker.py", line 1627, in get
raise value
ray.exceptions.RayActorError: The actor died because of an error raised in its creation task, �[36mray::PPO.init()�[39m (pid=147, ip=172.17.0.10)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/agents/trainer_template.py", line 137, in init
Trainer.init(self, config, env, logger_creator)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/agents/trainer.py", line 623, in init
super().init(config, logger_creator)
File "/usr/local/lib/python3.7/dist-packages/ray/tune/trainable.py", line 107, in init
self.setup(copy.deepcopy(self.config))
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/agents/trainer_template.py", line 147, in setup
super().setup(config)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/agents/trainer.py", line 740, in setup
self._allow_unknown_configs)
File "/usr/local/lib/python3.7/dist-packages/ray/rllib/agents/trainer.py", line 1537, in merge_trainer_configs
cls._override_all_subkeys_if_type_changes)
File "/usr/local/lib/python3.7/dist-packages/ray/util/ml_utils/dict.py", line 51, in deep_update
raise Exception("Unknown config parameter {} ".format(k))
Exception: Unknown config parameter custom_preprocessor

I already tried a bunch of fixes for this, one was updating to ray 1.8.0.

[Adaickalavan]

This issue is being closed as the marl_benchmark has been archived and is not expected to receive any further updates. See #2025.