HumanCompatibleAI / adversarial-policies

Find best-response to a fixed policy in multi-agent RL
MIT License
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Issue running adversarial_policies repository #61

Closed 2019211753 closed 1 year ago

2019211753 commented 1 year ago

it's an issue I encountered while trying to run the adversarial_policies repository. Specifically, I ran into an error after executing the following three commands:

docker pull humancompatibleai/adversarial_policies:latest docker run -it --env MUJOCO_KEY=URL_TO_YOUR_MUJOCO_KEY humancompatibleai/adversarial_policies:latest /bin/bash python -m aprl.train with env_name=multicomp/SumoHumans-v0 paper After running the third command, I received the following error message:

/venv/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) ERROR: Invalid length of encrypted section

I am unsure of how to proceed and was wondering if you could offer any guidance or assistance in resolving this issue.

Thank you for your time and I look forward to hearing from you soon.