Comments (4)
awjuliani
commented on June 28, 2024
Hi,
Adding Python3 support is something I would definitely like to do when I have time. Unfortunately when I began the series I did it purely with Python2. If you have happened to convert any of the notebooks to python 3, please consider a pull request, as I would be happy to integrate them into the notebook.
In Gridworld this functionality exists in case you might want to add a block which causes the episode to end early. For example, having the episode end once finding a goal.
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wwxFromTju
commented on June 28, 2024
Hi,
I change some file to support the py3. Some error when I install vizdoom, so I don't change it.
And you ues targetOps = updateTargetGraph(trainables,tau) in Deep-Recurrent-Q-Network.
But in helper.py you just define the updateTargetGraph(tfVars). so I don't know how to change this file.
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awjuliani
commented on June 28, 2024
I will go through the A3C myself to ensure it is python 3 compatible. Thanks again for making the changes that you did.
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GoingMyWay
commented on June 28, 2024
@wwxFromTju , if you have successfully installed vizdoom under Python3, I think the code is compatible under Python3 if you change print to print() in helper.py. I can run the code under Python3.x. If you are a Chinese user, make sure you can download freedoom-0.10.1.zip due to GFW.
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Related Issues (20)
- _ HOT 1
- simple and odd python problem HOT 2
- Double-Dueling-DQN: question about the rate to update target network
- Double-Dueling-DQN stops learning
- Can't see the source code. HOT 2
- checkGoal() in gridworld.py
- apply_gradients need a lock?
- A3C-Doom, is threading can make real parallelism?
- Please add more comments..
- Target network updates / Double-Dueling-DQN.ipynb HOT 1
- A3C Doom : function error
- DRQN plays FlappyBird
- what is the mean of multiply (1./(i+1))？
- Reward Smoothing
- A3C Doom: Why there should be no more workers than there are threads on CPU?
- How to do twice training session for the same buffer
- scipy.misc.imresize is deprecated in Scipy 1.14.3 --> modified code HOT 1
- A garbage code in Model-Network.ipynb
- Issue in DRQN
- Crash and burn in TF 2.0 and alter
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