Comments (4)
Hi, I've had some problems with keras-rl and tensorflow and I managed to find a solution to this problem, after hours of trying to figure it out. Hopefully it works for you too.
keras-rl
works with tensorflow 1.X, from my understanding, and keras-rl2
is supposed to fix that by requiring tensorflow>=2.1.0. Unfortunately, keras-rl2
is archived, so there can't be anymore fixes. My solution was this:
- Download the keras-rl2 source code from here
- Go into
setup.py
and remove theinstall_requirements=['tensorflow'],
line OR you can even change it to tensorflow-macos - Follow the install instructions from source code from here (the keras-rl2 instructions are incomplete)
Once you install keras-rl2
your problems should dissapear.
My issues here these:
ERROR
: Could not find a version that satisfies the requirement tensorflow (from keras-rl2) (from versions: none) when trying to install keras-rl2ERROR
: when trying to dopip install keras-rl2==1.0.5
Keras symbolic inputs/outputs do not implement__len__
. You may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model. This error will also get raised if you try asserting a symbolic input/output directly.
Hopefully this helps.
from keras-rl.
hello everyone, can you help me to solve this issue
ImportError Traceback (most recent call last)
Cell In[11], line 5
3 from keras import version
4 tf.keras.version = version
----> 5 from rl.agents import DQNAgent
6 from rl.policy import BoltzmannQPolicy
7 from rl.memory import SequentialMemory
File /opt/anaconda3/envs/py311/lib/python3.11/site-packages/rl/agents/init.py:1
----> 1 from .dqn import DQNAgent, NAFAgent, ContinuousDQNAgent
2 from .ddpg import DDPGAgent
3 from .cem import CEMAgent
File /opt/anaconda3/envs/py311/lib/python3.11/site-packages/rl/agents/dqn.py:8
5 from tensorflow.keras.layers import Lambda, Input, Layer, Dense
7 from rl.core import Agent
----> 8 from rl.policy import EpsGreedyQPolicy, GreedyQPolicy
9 from rl.util import *
12 def mean_q(y_true, y_pred):
File /opt/anaconda3/envs/py311/lib/python3.11/site-packages/rl/policy.py:3
1 import numpy as np
----> 3 from rl.util import *
6 class Policy:
...
----> 3 from tensorflow.keras.models import model_from_config, Sequential, Model, model_from_config
4 import tensorflow.keras.optimizers as optimizers
5 import tensorflow.keras.backend as K
ImportError: cannot import name 'model_from_config' from 'tensorflow.keras.models' (/opt/anaconda3/envs/py311/lib/python3.11/site-packages/keras/_tf_keras/keras/models/init.py)
I've tried to solve this issue in python version 3.9, 3.8, 3.11, 3.10
from keras-rl.
hello everyone, can you help me to solve this issue ImportError Traceback (most recent call last) Cell In[11], line 5 3 from keras import version 4 tf.keras.version = version ----> 5 from rl.agents import DQNAgent 6 from rl.policy import BoltzmannQPolicy 7 from rl.memory import SequentialMemory
File /opt/anaconda3/envs/py311/lib/python3.11/site-packages/rl/agents/init.py:1 ----> 1 from .dqn import DQNAgent, NAFAgent, ContinuousDQNAgent 2 from .ddpg import DDPGAgent 3 from .cem import CEMAgent
File /opt/anaconda3/envs/py311/lib/python3.11/site-packages/rl/agents/dqn.py:8 5 from tensorflow.keras.layers import Lambda, Input, Layer, Dense 7 from rl.core import Agent ----> 8 from rl.policy import EpsGreedyQPolicy, GreedyQPolicy 9 from rl.util import * 12 def mean_q(y_true, y_pred):
File /opt/anaconda3/envs/py311/lib/python3.11/site-packages/rl/policy.py:3 1 import numpy as np ----> 3 from rl.util import * 6 class Policy: ... ----> 3 from tensorflow.keras.models import model_from_config, Sequential, Model, model_from_config 4 import tensorflow.keras.optimizers as optimizers 5 import tensorflow.keras.backend as K
ImportError: cannot import name 'model_from_config' from 'tensorflow.keras.models' (/opt/anaconda3/envs/py311/lib/python3.11/site-packages/keras/_tf_keras/keras/models/init.py) I've tried to solve this issue in python version 3.9, 3.8, 3.11, 3.10
do you got it?
from keras-rl.
from keras-rl.
Related Issues (20)
- Numpy data wrangling in rl/callbacks.py HOT 1
- C:\Python\Python37\lib\site-packages\keras_rl-0.4.2-py3.7.egg\rl\agents\dqn.py in __init__(self, model, policy, test_policy, enable_double_dqn, enable_dueling_network, dueling_type, *args, **kwargs) HOT 4
- [Question] Custom Environment HOT 1
- ValueError: probabilities contain NaN in policy.py HOT 5
- Module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects' HOT 2
- Undocumented version requirements for python, tensorflow, and keras HOT 3
- Training performance is quite slow HOT 3
- ImportError: cannot import name 'PrioritizedMemory' from 'rl.memory' HOT 1
- how to implement a custom environment? HOT 1
- which version the tensorflow and numpy it is inDQN_carpole? HOT 1
- <rl.agents.dqn.DQNAgent object at 0x000001FE98873A88> HOT 1
- How to set the "nb_steps_warmup" and "nb_steps" properly? HOT 1
- Multiple Actions in DQN (binary action vector)
- Value error when running DQN.fit HOT 2
- gym.Env.reset() no longer returns observation of type np.array but a tuple of (observation, info)
- Keras-RL2 DQN agent fails to learn on some environments
- Frame Skipping in DQN
- ValueError: Could not interpret optimizer identifier: <keras.src.optimizers.adam.Adam object at 0x79d9071160e0>
- Recommendation to synchronize tf, keras and keras rl versions? HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from keras-rl.