fast-marl | FAST iteration of MARL research ideas

by semitable Python Version: Current License: No License

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

kandi X-RAY | fast-marl Summary

fast-marl is a Python library. fast-marl has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Algorithm implementations with emphasis on FAST iteration of MARL research ideas. The algorithms are self-contained and the implementations are focusing on simplicity and speed. All algorithms are implemented in PyTorch and use the Gym interface.

Support

Quality

Security

License

Reuse

Support

fast-marl has a low active ecosystem.

It has 13 star(s) with 4 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of fast-marl is current.

Quality

fast-marl has no bugs reported.

Security

fast-marl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fast-marl 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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fast-marl Key Features

No Key Features are available at this moment for fast-marl.

fast-marl Examples and Code Snippets

No Code Snippets are available at this moment for fast-marl.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install fast-marl

We strongly suggest you use a virtual environment for the instructions below. A good starting point is Miniconda. Then, clone and install the repository using:.

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: