cartpoles | Cartpole agents and environments for real-world RL

by stellentus Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | cartpoles Summary

cartpoles is a Jupyter Notebook library. cartpoles has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Cartpole agents and environments for real-world RL.

Support

Quality

Security

License

Reuse

Support

cartpoles has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 55 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cartpoles is current.

Quality

cartpoles has no bugs reported.

Security

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

License

cartpoles is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

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cartpoles Key Features

No Key Features are available at this moment for cartpoles.

cartpoles Examples and Code Snippets

No Code Snippets are available at this moment for cartpoles.

Community Discussions

No Community Discussions are available at this moment for cartpoles.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cartpoles

Run python3 -m venv env (or py -m venv env on Windows). This will create the virtual environment. This only needs to be done once.
Execute source env/bin/activate (or .\env\Scripts\activate on Windows) to enter the virtual environment.
Execute pip install --upgrade pip to upgrade pip.
Execute pip install -r requirements.txt to install required packages.
Execute deactivate to exit the virtual environment.

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 .

Find more information at: