https://github.com/sritchie/scala-rl

Functional Reinforcement Learning in Scala.
https://github.com/sritchie/scala-rl

deep-reinforcement-learning functional-programming reinforcement-learning reinforcement-learning-tutorials

Last synced: about 2 months ago
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Functional Reinforcement Learning in Scala.

• Host: GitHub
• URL: https://github.com/sritchie/scala-rl
• Owner: sritchie
• License: apache-2.0
• Created: 2019-08-05T19:07:41.000Z (over 5 years ago)
• Default Branch: develop
• Last Pushed: 2024-08-19T20:49:44.000Z (4 months ago)
• Last Synced: 2024-10-13T10:05:29.212Z (2 months ago)
• Topics: deep-reinforcement-learning, functional-programming, reinforcement-learning, reinforcement-learning-tutorials
• Language: Scala
• Homepage: https://www.scalarl.com
• Size: 4.04 MB
• Stars: 26
• Watchers: 3
• Forks: 5
• Open Issues: 26
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# Functional RL in Scala

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### Overview

Reinforcement Learning in Scala, the functional way.

I definitely don't need to go fully overboard... but the gold standard is to reimplement a bunch of this stuff:

https://github.com/ShangtongZhang/reinforcement-learning-an-introduction

in Scala.

## Notes

Can we write the update steps in some interesting way? Like, you have a function that you pass an action to, and eventually it returns some reward? I think so!

## Blog Series

This code supports the blog series on functional reinforcement learning.

## Get Involved

Want to contribute examples or use this stuff?

## Inspiration

- the book, Reinforcement Learning.

- https://github.com/ShangtongZhang/reinforcement-learning-an-introduction

## To File

- I'm using Rainier's version, but this is a nice article about the

probability Monad:

https://www.chrisstucchio.com/blog/2016/probability_the_monad.html

- We use ScalaFMT https://scalameta.org/scalafmt/docs/installation.html

- also, wartremover http://www.wartremover.org

## License

Copyright 2019 Sam Ritchie.

Licensed under the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).