Comments (6)
hi @thedieiscast, I have met the same problem. Have you solved it?
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![image](https://private-user-images.githubusercontent.com/22206995/258179040-a32b06d6-d2c8-48be-8112-e52a3f076e16.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.5IHxSiTQQGJVrY-R4iU_T9mAhjW-PXlrHg-I4NMV1Xk)
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hi, I've got the same problem with you. After making sure the gym == 1.19.0 and maetdrive==0.2.5, it still doesn't work. Have you successfully solved this problem?
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Hi, it seems that making gym==0.20.0 is effective.I don't the reason(Probably because there is something wrong with the gym library itself, and they fixed this bug in the later version SB3 breaks with gym==0.20.0 ), but it does solve the problem, here is the pip package version list of my conda env:
aiosignal 1.3.1
attrs 23.1.0
certifi 2023.7.22
charset-normalizer 3.3.2
click 8.1.7
click-plugins 1.1.1
cligj 0.7.2
cloudpickle 1.6.0
colorama 0.4.6
contourpy 1.1.1
cycler 0.12.1
distlib 0.3.7
dm-tree 0.1.8
exceptiongroup 1.1.3
Farama-Notifications 0.0.4
filelock 3.13.1
fiona 1.9.5
fonttools 4.43.1
frozenlist 1.4.0
geopandas 0.13.2
grpcio 1.59.2
gym 0.19.0
gym-notices 0.0.8
idna 3.4
imageio 2.31.6
importlib-metadata 6.8.0
importlib-resources 6.1.0
iniconfig 2.0.0
jax-jumpy 1.0.0
jsonschema 4.19.2
jsonschema-specifications 2023.7.1
kiwisolver 1.4.5
lazy_loader 0.3
lxml 4.9.3
lz4 4.3.2
markdown-it-py 3.0.0
matplotlib 3.6.3
mdurl 0.1.2
metadrive-simulator 0.2.5
msgpack 1.0.7
networkx 3.1
numpy 1.19.3
opencv-python 4.8.1.78
opencv-python-headless 4.8.1.78
packaging 23.2
Panda3D 1.10.13
panda3d-gltf 0.13
panda3d-simplepbr 0.10
pandas 1.4.4
Pillow 8.3.2
pip 23.3.1
pkgutil_resolve_name 1.3.10
platformdirs 3.11.0
pluggy 1.3.0
progressbar 2.5
protobuf 4.25.0
psutil 5.9.6
pygame 2.5.2
pyglet 1.5.15
Pygments 2.16.1
pyparsing 3.1.1
pyproj 3.5.0
pytest 7.4.3
python-dateutil 2.8.2
pytz 2023.3.post1
PyWavelets 1.4.1
PyYAML 6.0.1
ray 2.2.0
referencing 0.30.2
requests 2.31.0
rich 13.6.0
rpds-py 0.10.6
scikit-image 0.21.0
scipy 1.10.1
seaborn 0.12.2
setuptools 63.2.0
shapely 2.0.2
six 1.16.0
tabulate 0.9.0
tensorboardX 2.6.2.2
tifffile 2023.7.10
tomli 2.0.1
torch 1.13.1+cu116
torchaudio 0.13.1+cu116
tqdm 4.66.1
typer 0.9.0
typing_extensions 4.8.0
tzdata 2023.3
urllib3 2.0.7
virtualenv 20.24.6
wheel 0.36.0
yapf 0.40.2
zipp 3.17.0
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Hi I've updated the dependencies requirement. Our code support MetaDrive 0.2.5 instead of the latest version. Here is the result when I ran with MetaDrive-0.2.5:
https://github.com/decisionforce/CoPO/tree/main/benchmarks/MetaDrive-0.2.5
To provide more information to you, this is the environment that I succesfully run code:
Package Version Editable project location
------------------------ ---------- -----------------------------
absl-py 2.1.0
aiohttp 3.8.6
aiohttp-cors 0.7.0
aioredis 2.0.1
aiosignal 1.3.1
annotated-types 0.5.0
anyio 3.7.1
astunparse 1.6.3
async-timeout 4.0.3
asynctest 0.13.0
atari-py 0.2.6
attrs 23.2.0
blessed 1.20.0
cachetools 5.3.2
certifi 2022.12.7
charset-normalizer 3.3.2
click 8.1.7
cloudpickle 1.6.0
colorama 0.4.6
colorful 0.5.6
copo 0.0.0 /home/zhenghao/CoPO/copo_code
cycler 0.11.0
decorator 5.1.1
distlib 0.3.8
dm-tree 0.1.8
exceptiongroup 1.2.0
filelock 3.12.2
Flask 2.2.5
fonttools 4.38.0
frozenlist 1.3.3
gast 0.3.3
google-api-core 2.15.0
google-auth 2.27.0
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
googleapis-common-protos 1.62.0
gpustat 1.1.1
grpcio 1.60.0
gym 0.23.1
gym-notices 0.0.8
h11 0.14.0
h5py 2.10.0
idna 3.6
imageio 2.31.2
importlib-metadata 6.7.0
importlib-resources 5.12.0
iniconfig 2.0.0
itsdangerous 2.1.2
Jinja2 3.1.3
jsonschema 4.17.3
Keras-Preprocessing 1.1.2
kiwisolver 1.4.5
kubernetes 29.0.0
lz4 4.3.2
Markdown 3.4.4
markdown-it-py 2.2.0
MarkupSafe 2.1.4
matplotlib 3.5.3
mdurl 0.1.2
metadrive-simulator 0.2.5
msgpack 1.0.5
multidict 6.0.4
networkx 2.6.3
numpy 1.21.6
nvidia-cublas-cu11 11.10.3.66
nvidia-cuda-nvrtc-cu11 11.7.99
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cudnn-cu11 8.5.0.96
nvidia-ml-py 12.535.133
oauthlib 3.2.2
opencensus 0.11.4
opencensus-context 0.1.3
opt-einsum 3.3.0
packaging 23.2
Panda3D 1.10.14
panda3d-gltf 0.14
panda3d-simplepbr 0.10
pandas 1.3.5
Pillow 9.5.0
pip 22.3.1
pkgutil_resolve_name 1.3.10
platformdirs 4.0.0
pluggy 1.2.0
prometheus-client 0.17.1
protobuf 3.20.3
psutil 5.9.8
py-spy 0.3.14
pyasn1 0.5.1
pyasn1-modules 0.3.0
pydantic 1.9.0
pydantic_core 2.14.6
pygame 2.5.2
Pygments 2.17.2
pyparsing 3.1.1
pyrsistent 0.19.3
pytest 7.4.4
python-dateutil 2.8.2
pytz 2023.4
PyWavelets 1.3.0
PyYAML 6.0.1
ray 2.2.0
redis 5.0.1
requests 2.31.0
requests-oauthlib 1.3.1
rich 13.7.0
rsa 4.9
scikit-image 0.19.3
scipy 1.7.3
seaborn 0.12.2
setuptools 65.6.3
six 1.16.0
sniffio 1.3.0
starlette 0.29.0
tabulate 0.9.0
tensorboard 2.11.2
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorboardX 2.6.2.2
tensorflow 2.3.1
tensorflow-estimator 2.3.0
tensorflow-probability 0.11.1
termcolor 2.3.0
tifffile 2021.11.2
tomli 2.0.1
torch 1.13.1
tqdm 4.66.1
typer 0.9.0
typing_extensions 4.7.1
urllib3 2.0.7
uvicorn 0.22.0
virtualenv 20.25.0
wcwidth 0.2.13
websocket-client 1.6.1
Werkzeug 2.2.3
wheel 0.38.4
wrapt 1.16.0
yapf 0.30.0
yarl 1.9.4
zipp 3.15.0
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Related Issues (20)
- When training multi-agent(train_all_copo_dist.py), observation type is not a Dictionary but a Box HOT 2
- Visualize PGMap HOT 1
- Visualizing when training HOT 7
- dos CoPO use only one policy? or many policies for each agent? HOT 2
- visualization problem HOT 4
- what is the version of "ray" in the torch copo? HOT 7
- Why I can't find module "metadrive.constants"? HOT 3
- Does copo use "traffic light" and "communication" information as observation? HOT 5
- Fail to restore data from checkpoint HOT 2
- torch_copo error HOT 1
- Run without reaction (but no error) HOT 1
- Torch copo error seems occurred when an agent is done HOT 2
- train error with gym=0.19.0 ray = 2.2.0 metadrive-simulator = 0.4.1.2 HOT 3
- AssertionError in visualizing trained models. HOT 1
- AssertionError in visualizing trained models.
- Issues of installation caused by gym's vision. HOT 2
- conflict dependencies HOT 2
- Agent ID KeyError HOT 4
- Curriculum Learning implementation problem HOT 1
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