WorldModels | Full World Models Implementation in Chainer | Reinforcement Learning library

by AdeelMufti Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | WorldModels Summary

WorldModels is a Python library typically used in Artificial Intelligence, Reinforcement Learning applications. WorldModels has no bugs, it has no vulnerabilities and it has low support. However WorldModels build file is not available. You can download it from GitHub.

Here is a quick summary of Ha & Schmidhuber's World Models framework. The framework aims to train an agent that can perform well in virtual gaming environments. Ha & Schmidhuber's experiments were done in the CarRacing-v0 (from OpenAI gym), and ViZDoom: Take Cover environments.

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Quality

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WorldModels has a low active ecosystem.

It has 152 star(s) with 18 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 476 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of WorldModels is current.

Quality

WorldModels has no bugs reported.

Security

WorldModels has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

WorldModels does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

WorldModels releases are not available. You will need to build from source code and install.

WorldModels has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi has reviewed WorldModels and discovered the below as its top functions. This is intended to give you an instant insight into WorldModels implemented functionality, and help decide if they suit your requirements.

Initialize a single observation
Calculate the action vector
Decode a tensor
Perform a step
Post - process image processing
Generate rollout arguments for a worker
Generate a single observation
Transform inputs to weights
Returns the loss function
Fpropagate the function
Calculate the loss function
Compute the fprop
Load a single batch
Reset the indices of all rollout
Create a worker for a given rollouts
Generate random action
Listen to mutations from a client
Saves images collage to collage
Get an example from the rollouts
Calculate loss function
Listen to a given client
Loads a numpy array of numpy arrays
Get the example for the given index
Translates a tensorflow tensor
Transform inputs to weights
Returns the loss function
Load frames from a given file

Get all kandi verified functions for this library.

WorldModels Key Features

No Key Features are available at this moment for WorldModels.

WorldModels Examples and Code Snippets

No Code Snippets are available at this moment for WorldModels.

Community Discussions

Trending Discussions on WorldModels

No module named tensorflow.python.platform on WSL

QUESTION

No module named tensorflow.python.platform on WSL

Asked 2018-Jun-10 at 06:34

I found a great Medium article on creating a new neural network architecture that I wanted to try out. Of course, I get to the training part, and things start to fail.

I can't import TensorFlow. Whenever I do, I get the error

...

ANSWER

Answered 2018-Jun-10 at 06:13

It looks like there was some other weird stuff going on. The biggest thing I noticed that was odd is that sudo pip --version gave a different version than just pip --version.

Doing pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp35-cp35m-linux_x86_64.whl upgraded and allowed me to import tensorflow. (Note that doing sudo pip did not work.)

Thank you @HarisNadeem for the solution and for helping diagnose the issue!

Source https://stackoverflow.com/questions/50772096

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install WorldModels

conda install numpy chainer scipy Pillow imageio numba cupy (cupy if using GPU)
pip install gym Box2D vizdoom (ViZDoom build pre-setup)

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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