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I can't get the model converge on every learner , either imagenet or cifar10。Any suggestion about the hyper-parameters?Thanks
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The same run on the same seed, even on tensorflow CPU, is giving different learning curves. There might be some non-determinism somewhere, maybe in the environment-seeding.
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I'm trying to port an OpenAI Gym Environment and use coach for the learn on top.
The tutorial currently reads (emphasis mine):
```
Adding an Environment
Adding your custom environments to…
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hi,
when I trying to run the gym_torcs_eval_low_dim.py, I got the problem as shown in the picture, do you know how to solve it?
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Hey!
Can you please inform me roughly how many hours/days does it take to train this network. I read your code and it has total steps = 2000(episodes)*100000(steps) and on running I found that 5 step…
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Hello
Thank you for sharing your code.
Could you show papers related to the DDPG algorithm in your models?
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log of running export_chn_pruned_tflite_model.py:
2018-12-12 05:19:28.614521: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not c…
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Hi,
i have a question about the code:
why all the training was done using SAC (i mean inside main.py file) and then in LongiControl_SHAP.ipynb a ddpg session was initialized? Is not possible to appl…
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Can you share the training details(training parameters, algorithm, total training steps etc) for torcs?
Also did you have issues related to entropy becoming zero while training with a3c?
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import random
from abc import ABC
from random import choice
import numpy as np
from tf_agents.environments import py_environment
from tf_agents.specs import is_continuous
from tf_agents.traje…