(venv) C:\Users\lolim\aimaybe>mlagents-learn Traceback (most recent call last): File "", line 198, in _run_module_as_main File "", line 88, in _run_code File "C:\Users\lolim\aimaybe\venv\Scripts\mlagents-learn.exe\__main__.py", line 4, in File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents\trainers\learn.py", line 2, in from mlagents import torch_utils File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents\torch_utils\__init__.py", line 1, in from mlagents.torch_utils.torch import torch as torch # noqa ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents\torch_utils\torch.py", line 6, in from mlagents.trainers.settings import TorchSettings File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents\trainers\settings.py", line 25, in from mlagents.trainers.cli_utils import StoreConfigFile, DetectDefault, parser File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents\trainers\cli_utils.py", line 5, in from mlagents_envs.environment import UnityEnvironment File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents_envs\environment.py", line 12, in from mlagents_envs.side_channel.side_channel import SideChannel File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents_envs\side_channel\__init__.py", line 5, in from mlagents_envs.side_channel.default_training_analytics_side_channel import ( # noqa File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents_envs\side_channel\default_training_analytics_side_channel.py", line 7, in from mlagents_envs.communicator_objects.training_analytics_pb2 import ( File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\mlagents_envs\communicator_objects\training_analytics_pb2.py", line 35, in _descriptor.FieldDescriptor( File "C:\Users\lolim\aimaybe\venv\Lib\site-packages\google\protobuf\descriptor.py", line 553, in __new__ _message.Message._CheckCalledFromGeneratedFile() TypeError: Descriptors cannot be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower). More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates