gail_gym | Generatve Adversarial Imitation Learning | Reinforcement Learning library

by nav74neet Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gail_gym Summary

gail_gym is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Pytorch, Tensorflow applications. gail_gym has no bugs, it has no vulnerabilities and it has low support. However gail_gym build file is not available. You can download it from GitHub.

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

Support

Quality

Security

License

Reuse

Support

gail_gym has a low active ecosystem.

It has 54 star(s) with 28 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 227 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gail_gym is current.

Quality

gail_gym has 0 bugs and 0 code smells.

Security

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

gail_gym code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gail_gym 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

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

gail_gym has no build file. You will be need to create the build yourself to build the component from source.

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

gail_gym saves you 531 person hours of effort in developing the same functionality from scratch.

It has 1244 lines of code, 74 functions and 24 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gail_gym and discovered the below as its top functions. This is intended to give you an instant insight into gail_gym implemented functionality, and help decide if they suit your requirements.

Runs the policy .
Calculates the parameters for the given batch .
Initialize the discriminator .
Collect samples from the policy .
Compute the gradient of the flat array .
ppo objective function
Continuous loop .
Estimate advantages .
Merge a list of rewards .
Calculates the flat gradient of inputs .

Get all kandi verified functions for this library.

gail_gym Key Features

No Key Features are available at this moment for gail_gym.

gail_gym Examples and Code Snippets

No Code Snippets are available at this moment for gail_gym.

Community Discussions

Trending Discussions on gail_gym

Importing custom class in another .py file

QUESTION

Importing custom class in another .py file

Asked 2020-Dec-08 at 08:47

I am facing a problem related to a python repository that I imported.

...

ANSWER

Answered 2020-Dec-08 at 07:55

As you can read on README file you've got some dependencies:

python 3.5.2
tensorflow 1.1.0
gym 0.9.0

So you have to download them before to run the script. Follow these instructions for installation: https://www.python.org/downloads/release/python-352/ https://www.tensorflow.org/install https://github.com/openai/gym#id5

Tips: Use a virtualenv inside your folder: a virtual environment for installing all your dependencies with the selected versions.

Source https://stackoverflow.com/questions/65195013

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

Vulnerabilities

No vulnerabilities reported

Install gail_gym

You can download it from GitHub.
You can use gail_gym 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 .

Find more information at: