super_mario_dqn | Playing Super Mario Bros with Deep Q Learning

by Talendar Python Version: Current License: MIT

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

kandi X-RAY | super_mario_dqn Summary

super_mario_dqn is a Python library. super_mario_dqn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Playing Super Mario Bros with Deep Q Learning.

Support

Quality

Security

License

Reuse

Support

super_mario_dqn has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

super_mario_dqn has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of super_mario_dqn is current.

Quality

super_mario_dqn has no bugs reported.

Security

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

License

super_mario_dqn 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

super_mario_dqn 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.

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super_mario_dqn Key Features

No Key Features are available at this moment for super_mario_dqn.

super_mario_dqn Examples and Code Snippets

No Code Snippets are available at this moment for super_mario_dqn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install super_mario_dqn

You can download it from GitHub.
You can use super_mario_dqn 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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