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Theohhhu / UPDeT

Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)
MIT License
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TypeError: expected str, bytes or os.PathLike object, not NoneType #3

Closed lxqpku closed 3 years ago

lxqpku commented 3 years ago

Traceback (most recent call last): File "main.py", line 19, in ex = Experiment("pymarl") File "/home/username/anaconda3/lib/python3.7/site-packages/sacred/experiment.py", line 75, in init _caller_globals=caller_globals) File "/home/username/anaconda3/lib/python3.7/site-packages/sacred/ingredient.py", line 57, in init gather_sources_and_dependencies(_caller_globals) File "/home/username/anaconda3/lib/python3.7/site-packages/sacred/dependencies.py", line 487, in gather_sources_and_dependencies sources = gather_sources(globs, experiment_path) File "/home/username/anaconda3/lib/python3.7/site-packages/sacred/dependencies.py", line 440, in get_sources_from_imported_modules return get_sources_from_modules(iterate_imported_modules(globs), base_path) File "/home/username/anaconda3/lib/python3.7/site-packages/sacred/dependencies.py", line 409, in get_sources_from_modules filename = os.path.abspath(mod.file) File "/home/username/anaconda3/lib/python3.7/posixpath.py", line 371, in abspath path = os.fspath(path) TypeError: expected str, bytes or os.PathLike object, not NoneType

Perhaps there's a problem about the path variable, how to solve it? Thanks

Theohhhu commented 3 years ago

I recommend you check your environment configuration first. You may try https://github.com/oxwhirl/pymarl. As our code is mainly based on them.

lxqpku commented 3 years ago

thanks for your reply, I've solved the problem