DROO | Deep Reinforcement Learning for Online Computation | Reinforcement Learning library

by revenol Python Version: Current License: MIT

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

kandi X-RAY | DROO Summary

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

Liang HUANG, lianghuang AT zjut.edu.cn. Suzhi BI, bsz AT szu.edu.cn. Ying Jun (Angela) Zhang, yjzhang AT ie.cuhk.edu.hk.

Support

Quality

Security

License

Reuse

Support

DROO has a low active ecosystem.

It has 375 star(s) with 176 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 12 have been closed. On average issues are closed in 111 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DROO is current.

Quality

DROO has 0 bugs and 0 code smells.

Security

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

DROO code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DROO 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

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

DROO 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.

DROO saves you 329 person hours of effort in developing the same functionality from scratch.

It has 789 lines of code, 43 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Decodes the model
Return the k - nearest - nearest mode of m
Calculate the k n - norm
Encodes an entry
Train the network
Remember memory h and m
CD method for CD - Method
Inverse of bisection function
Find the optimal bisection matrix
Function to plot rates
Plot the gain ratio
Return the alternate weights for a given case
Turn the off of the given channel off
Turn on N_active
Plots training loss
Save rates to file

Get all kandi verified functions for this library.

DROO Key Features

No Key Features are available at this moment for DROO.

DROO Examples and Code Snippets

No Code Snippets are available at this moment for DROO.

Community Discussions

Trending Discussions on DROO

how do i get it to fade to the next name

QUESTION

how do i get it to fade to the next name

Asked 2017-May-20 at 14:26

...

ANSWER

Answered 2017-May-20 at 14:26

fadeIn and fadeOut won't work because you're using slim version of jquery, which doesn't have that functions. You can put

Source https://stackoverflow.com/questions/44086228

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

Vulnerabilities

No vulnerabilities reported

Install DROO

You can download it from GitHub.
You can use DROO 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: