gym-doom | Gym - Doom environments based on VizDoom | Reinforcement Learning library
kandi X-RAY | gym-doom Summary
kandi X-RAY | gym-doom Summary
gym-doom is a Python library typically used in Artificial Intelligence, Reinforcement Learning applications. gym-doom has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install gym-doom' or download it from GitHub, PyPI.
To install dependencies, run the following:.
To install dependencies, run the following:.
Support
Quality
Security
License
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Support
gym-doom has a low active ecosystem.
It has 97 star(s) with 32 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 21 open issues and 9 have been closed. On average issues are closed in 35 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of gym-doom is current.
Quality
gym-doom has 0 bugs and 0 code smells.
Security
gym-doom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
gym-doom code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
gym-doom 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
gym-doom releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed gym-doom and discovered the below as its top functions. This is intended to give you an instant insight into gym-doom implemented functionality, and help decide if they suit your requirements.
- Perform a step
- Returns a dictionary of game variables
- Play human mode
- Calculates the total reward
- Calculate the average of all the scores
- Gets the lowest level of the unlocked ladder
- Change the current level
- Calculate the standard reward for an episode
- Calculates the action reward
- Unlock each level of the scoring
- Reset the game
- Load the game
- Start a new episode
- Perform an action
Get all kandi verified functions for this library.
gym-doom Key Features
No Key Features are available at this moment for gym-doom.
gym-doom Examples and Code Snippets
No Code Snippets are available at this moment for gym-doom.
Community Discussions
Trending Discussions on gym-doom
QUESTION
Getting multiprocessing lock error when running vizdoom and pytorch program on Windows Subsystem for Linux
Asked 2018-Jul-02 at 16:30
whenever I try to run my program on WSL, I get the following error. I'm pretty new to pytorch and vizdoom, so I don't know how to solve this problem.
Setup
- Windows 10 x64
- Ubuntu 14 (on WSL)
- Python 2.7.14 (Anaconda 2)
- OpenAI Gym 0.9.5
- Vizdoom 1.1.4
- doom-py 0.0.14
- ppaquette/gym-doom
- pytorch 0.0.12
ANSWER
Answered 2018-May-26 at 13:05Upgrading the Ubuntu on WSL to the latest version (18.04) solved the problem for me.
For me it was running the following commands on WSL.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gym-doom
You can install using 'pip install gym-doom' or download it from GitHub, PyPI.
You can use gym-doom 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 gym-doom 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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