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Recommendation to synchronize tf, keras and keras rl versions?
Please recommend how users should synchronize versions of tf, keras and keras rl?
- [OK ] Check that you are up-to-date with the master branch of Keras-RL. You can update with:
pip install git+git://github.com/keras-rl/keras-rl.git --upgrade --no-deps
I install it through pip install
:
> pip install keras-rl
> Downloading keras-rl-0.4.2.tar.gz (40 kB)
> .....
- [ OK] Check that you are up-to-date with the master branch of Keras. You can update with:
pip install git+git://github.com/fchollet/keras.git --upgrade --no-deps
I install it through pip install
the same hour as keras-rl:
>> pip install keras
keras.version='3.1.1'
- [ ] Provide a link to a GitHub Gist of a Python script that can reproduce your issue (or just copy the script here if it is short). If you report an error, please include the error message and the backtrace.
My code
from rl.policy import LinearAlleniaedPolicy, EpsGreedyQPolicy
policy = LinearAlleniaedPolicy(EpsGreedyQPolicy(),
attr='eps',
value_max = 1.0,
value_min = 0.1,
value_test = 0.05,
steps_cnt = 500_000
)
return
Traceback (most recent call last):
Cell In[43], line 1
from rl.policy import LinearAlleniaedPolicy, EpsGreedyQPolicy
File ~\anaconda3\envs\reinf_learning_hw2\lib\site-packages\rl\policy.py:4
from rl.util import *
File ~\anaconda3\envs\reinf_learning_hw2\lib\site-packages\rl\util.py:3
from keras.models import model_from_config, Sequential, Model, model_from_config
ImportError: cannot import name 'model_from_config' from 'keras.models'
(~anaconda3\envs\reinf_learning_hw2\lib\site-packages\keras\models\__init__.py)
Usually i can workaround it myself by replacing keras.models
to **tf**.keras.models
in the source but this time I have no idea where to find model_from_config function.
Python: 3.10.14 tensorflow.version='2.16.1'
Yes, please keep updating this project.
I'm having a similar issue. The code from rl.agents.dqn import DQNAgent
triggers
ModuleNotFoundError: No module named 'keras.utils.generic_utils'