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Custom Reinforcement Learning environment for Edwin Lander

This repository contains the source code of Edwin Lander for training any Reinforcement Learning algorithm on it to make landing.

Demo

-ZwnRQaszyQ8pHij.mp4

Usage:

  1. Start a local server and host the files present in lander directory and get the hosted URL. For simplicity you can use Go-Live feature of VSCode
  2. Replace self.driver.get("<URL>") with the hosted URL inside main.py
  3. Pick the algorithm you want to use. (It should support BOX type action spaces)
  4. run the main.py

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custom Gym environment built to train RL models on the Edwin Lander game to land via following the rules

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