https://github.com/JuliaReinforcementLearning/ReinforcementLearningAnIntroduction.jl

Julia code for the book Reinforcement Learning An Introduction
https://github.com/JuliaReinforcementLearning/ReinforcementLearningAnIntroduction.jl

julia reinforcement-learning

Last synced: 3 months ago
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Julia code for the book Reinforcement Learning An Introduction

• Host: GitHub
• URL: https://github.com/JuliaReinforcementLearning/ReinforcementLearningAnIntroduction.jl
• Owner: JuliaReinforcementLearning
• License: mit
• Created: 2018-12-31T17:52:42.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-29T01:23:32.000Z (8 months ago)
• Last Synced: 2024-03-09T21:39:44.272Z (3 months ago)
• Topics: julia, reinforcement-learning
• Language: Julia
• Homepage: https://juliareinforcementlearning.org/ReinforcementLearningAnIntroduction.jl/
• Size: 44.1 MB
• Stars: 293
• Watchers: 14
• Forks: 55
• Open Issues: 15
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Lists

• awesome-rl - Julia Code

README

        
 



 



 "To think is to forget a difference, to generalize, to abstract."

― Jorge Luis Borges, Funes the Memorious







    

        

    



This project provides the [Julia](https://www.julialang.org/) code to generate figures in the book

[Reinforcement Learning: An

Introduction(2nd)](http://incompleteideas.net/book/the-book-2nd.html). One of

our main goals is to help users understand the basic concepts of reinforcement

learning from an engineer's perspective. Once you have grasped how different

components are organized, you're ready to explore a wide variety of modern deep

reinforcement learning algorithms in [ReinforcementLearningZoo.jl](https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/tree/master/src/ReinforcementLearningZoo).

## How to use?

If you are new to Julia or reinforcement learning, you can preview the

[notebooks](https://juliareinforcementlearning.org/ReinforcementLearningAnIntroduction.jl/) first. (Credit goes to [Andrea PIERRÉ](https://github.com/kir0ul))

For experienced users with the latest stable Julia properly installed:

1. Clone this project.

1. Start the Julia REPL inside the project folder.

1. Activate and instantiate the environment

    1. `import Pkg`

    2. `Pkg.activate(".")`

    3. `Pkg.instantiate()`

3. Start [Pluto.jl](https://github.com/fonsp/Pluto.jl)

    1. `import Pluto`

    1. `Pluto.run()`

4. Now you can see the Pluto page is opened in your browser. Paste

   `notebooks/Chapter01_Tic_Tac_Toe.jl` (or any other file under the `notebooks` folder) into

   the input box and click the `Open` button.

## Useful Links

- [Solutions of the book exercises : Reinforcement Learning 2nd Edition](https://github.com/LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions)