GymGo | An environment of the board game Go using OpenAI 's Gym API
kandi X-RAY | GymGo Summary
kandi X-RAY | GymGo Summary
GymGo is a Python library. GymGo has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
An environment for the board game Go. It is implemented using OpenAI's Gym API. It is also optimized to be as efficient as possible in order to efficiently train ML models.
An environment for the board game Go. It is implemented using OpenAI's Gym API. It is also optimized to be as efficient as possible in order to efficiently train ML models.
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Quality
Security
License
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GymGo has a low active ecosystem.
It has 94 star(s) with 18 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 4 have been closed. On average issues are closed in 55 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of GymGo is current.
Quality
GymGo has 0 bugs and 8 code smells.
Security
GymGo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
GymGo code analysis shows 0 unresolved vulnerabilities.
There are 2 security hotspots that need review.
License
GymGo 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.
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GymGo 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 are not available. Examples and code snippets are available.
GymGo saves you 475 person hours of effort in developing the same functionality from scratch.
It has 1174 lines of code, 110 functions and 15 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed GymGo and discovered the below as its top functions. This is intended to give you an instant insight into GymGo implemented functionality, and help decide if they suit your requirements.
- Compute the children of a given transition
- Return an array of invalid moves
- Batch canonical form
- Batch next states
- Draw a grid
- Return a string representation of a board
- Calculate the areas of the black area
- Check if game ended
- Advance the game
- Returns the winner of the game
- Returns the reward
- Return information about the game
- Render the widget
- Reset the game
- Close window
- Calculate the winning winners of a batch
- Compute the black areas of a batch
- Draw a piece of pieces
- Draw a circle
- Calculate the nearest neighbors between two states
- Return the adjoint of a player
- Return the winning opponent
- Generate a random action
- Return a random action
Get all kandi verified functions for this library.
GymGo Key Features
No Key Features are available at this moment for GymGo.
GymGo Examples and Code Snippets
No Code Snippets are available at this moment for GymGo.
Community Discussions
No Community Discussions are available at this moment for GymGo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GymGo
You can download it from GitHub.
You can use GymGo 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.
You can use GymGo 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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