openai-cartpole | random search , hill climbing , policy gradient | Machine Learning library

by kvfrans Python Version: Current License: No License

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

kandi X-RAY | openai-cartpole Summary

openai-cartpole is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Nodejs, Keras applications. openai-cartpole has no bugs, it has no vulnerabilities and it has low support. However openai-cartpole build file is not available. You can download it from GitHub.

random search, hill climbing, policy gradient

Support

Quality

Security

License

Reuse

Support

openai-cartpole has a low active ecosystem.

It has 134 star(s) with 67 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 1246 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of openai-cartpole is current.

Quality

openai-cartpole has 0 bugs and 0 code smells.

Security

openai-cartpole has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

openai-cartpole code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

openai-cartpole 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

openai-cartpole releases are not available. You will need to build from source code and install.

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

openai-cartpole saves you 69 person hours of effort in developing the same functionality from scratch.

It has 179 lines of code, 8 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Run an episode .
Train a cart pole .
Calculate the value gradient .
Calculate the policy gradient .
Softmax function .

Get all kandi verified functions for this library.

openai-cartpole Key Features

No Key Features are available at this moment for openai-cartpole.

openai-cartpole Examples and Code Snippets

No Code Snippets are available at this moment for openai-cartpole.

Community Discussions

Trending Discussions on openai-cartpole

Error with importing tflearn and more

QUESTION

Error with importing tflearn and more

Asked 2017-May-16 at 14:54

I am following a simple tutorial, from here, about some deep learning in neural networks and while testing my code, I ran into an issue with several exceptions, seen here (first my code, then the tracebacks):

...

ANSWER

Answered 2017-May-16 at 14:54

CUDNN might be one of the reasons. cuDNN v6.0 does not work for many people. Try with cuDNN v5.1.
Importing from inside GIT folder is also one of the reasons.

Source https://stackoverflow.com/questions/44004849

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

Vulnerabilities

No vulnerabilities reported

Install openai-cartpole

You can download it from GitHub.
You can use openai-cartpole like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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