Skip to content

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

License

Notifications You must be signed in to change notification settings

ugurkanates/awesome-real-world-rl

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Awesome Real World RL Awesome

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

test

This list is big compilation of all things trying to adapt Reinforcement Learning techniques in real world.Either it's mixing real world data into mix or trying to adapt simulations in a better way.It will also include some of Imitation Learning and Meta Learning along the way. If you have anything missing feel free to open a PR,I'm all for community contributions.

Contents

Papers

Any academic work done related to RL in real world.This is the other part of list,anything doesn't fit but still related gets here.

Books

Any book dedicated to RL in real world or book parts that contains related content.

Conference Talks

Any recorded talk related to subject goes here.

Education

Free or paid courses related to subject goes here.

Simulation to Real with GANs

Any paper uses GANs to generate realistic simulation images for adaptation of policy goes here.

Meta Reinforcement Learning

Anything Meta RL goes here.

Imitation Learning

Anything Imitation Learning goes here.

Multi Agent in Real World

Anything Multi Agent Real World RL related goes here.

Real World Examples

Any real world news or projects deployed RL in real life goes here.Mostly news,comments,blog posts etc.

Offline RL

Anything Offline Reinforcement Learning goes here.

Datasets

Saved datasets goes here.

Projects

Any project link available on internet related to it goes here.

Libraries

Open source libraries related goes to here.

Prominent Researchers & Companies to Follow

Contribute

Contributions welcome! Read the contribution guidelines first.

To the extent possible under law, Ugurkan Ates has waived all copyright and related or neighboring rights to this work.

Contributors: Ugurkan Ates

About

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Topics

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published