0 Forks
6 Stars
6 Watchers

Distributed_RL

This repository is implementation of distributed reinforcement learning algorithm using pytorch, Redis and ray.

How to download and setup Distributed_RL

Open terminal and run command
git clone https://github.com/seungju-mmc/Distributed_RL.git
git clone is used to create a copy or clone of Distributed_RL repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Distributed_RL https://github.com/seungju-mmc/Distributed_RL/archive/master.zip

Or simply clone Distributed_RL with SSH
[email protected]:seungju-mmc/Distributed_RL.git

If you have some problems with Distributed_RL

You may open issue on Distributed_RL support forum (system) here: https://github.com/seungju-mmc/Distributed_RL/issues

Similar to Distributed_RL repositories

Here you may see Distributed_RL alternatives and analogs

 tensorflow    CNTK    diaspora    Qix    handson-ml    infinit    diplomat    olric    qTox    LightGBM    h2o-3    catboost    distributed    tns    scrapy-cluster    EvaEngine.js    dgraph    redisson    cat    js-ipfs    nile.js    orbit-db    bit    CacheP2P    server    phoenix    micro    oklog    sandglass    xxl-mq