MrityunjayBhardwaj / Reinforcement-Learning-in-JS

Implementing Several Algorithms from RL-Book ( Sutton & Butao)

(WIP) Reinforcement-Learning in JS 🤖

Hello everyone! 👋 🤗, so basically, the goal of this repo is to act as a learning companion as you go through the standard RL text: Reinforcement Learning: An Introduction (2nd Edition)

All code is written in Javascript and uses environments from an OpenAI gym like library written just for this Repo.(see, 📂 Environments ) for function approximators we used tensorflow.js

🗒: Note that this project is meant to be used for learning and researching purposes only and it is not meant to be used for production.

List of Algorithms:

• Policy Iteration
• Sarsa (On-policy)
• Q-Learning (Off-policy)
• Monte-Carlo

Setup:

Install all dependencies

npm install

Build the project

npm run build

Run all the tests

npm test