Comments (6)
smallcatd
commented on August 30, 2024
hi @thedieiscast, I have met the same problem. Have you solved it?
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pengzhenghao
commented on August 30, 2024
The ray version is incompatible to the Gym version. I remember we need to use a specific version of gym. After installing MetaDrive, the gym version is overwritten so you have to downgrade to a certain version. In CoPO setup the gym version is hardcoded to 0.19.0. Could you double check your version and see if this helps?
Another issue might be the MetaDrive version. My benchmark result use MetaDrive 0.2.5, so I would recommend stick to this version.
https://github.com/metadriverse/metadrive-benchmark/tree/main/MARL <https://github.com/metadriverse/metadrive-benchmark/tree/main/MARL>
Best,
Zhenghao
… On Aug 2, 2023, at 11:38 PM, smallcatd ***@***.***> wrote:
hi @thedieiscast <https://github.com/thedieiscast>, I have met the same problem. Have you solved it?
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pengzhenghao
commented on August 30, 2024
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white-bubbleee
commented on August 30, 2024
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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white-bubbleee
commented on August 30, 2024
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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pengzhenghao
commented on August 30, 2024
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 3.15.0from copo.
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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