From 18e90a03ca60013aa73d9e42ef2caa624f0ba7c4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B6=A6=E6=B3=BD?= Date: Fri, 13 Dec 2024 17:13:19 +0800 Subject: [PATCH] Added some third-party beginner tutorials that have received positive feedback from the community and are highly praised, primarily focusing on video content. --- docs/tutorials/third-party-tutorials.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/docs/tutorials/third-party-tutorials.md b/docs/tutorials/third-party-tutorials.md index 5fc792957..ec2308d6f 100644 --- a/docs/tutorials/third-party-tutorials.md +++ b/docs/tutorials/third-party-tutorials.md @@ -9,6 +9,15 @@ ## Third-Party tutorials about gymnasium +### [Johnny Code from Youtube](https://www.youtube.com/playlist?list=PL58zEckBH8fCt_lYkmayZoR9XfDCW9hte) + +Watch this set of videos to train Gymnasium Reinforcement Learning environments using Q-Learning, Deep Q-Learning, and other algorithms. Environments include FrozenLake-v1, MountainCar-v0, CartPole-v1, and MoJoco Humanoid-v4. The youtuber uses Python with VSCode as the development environment. Libraries include Farama Gymnasium, PyTorch, Stable Baselines3. All codes are made available on github.com/johnnycode8 repository. + +### [freeCodeCamp from Youtube](https://www.youtube.com/watch?v=vufTSJbzKGU) + +This video tells the basics of reinforcement learning and how to implement it using Gymnasium. + + ## Third-Party tutorials about libraries that use gymnasium ### [AgileRL](https://docs.agilerl.com/en/latest/tutorials/gymnasium/index.html)