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This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

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Current version of pushing Huggy to Hub: ``` !mlagents-push-to-hf --run-id="HuggyTraining" --local-dir="./results/Huggy2" --repo-id="Laz4rz/hf-huggy-1-bonus" --commit-message="add Huggy agent" ``` yields: ``` [INFO] This function will create a model card and upload your HuggyTraining...

Hi, I am currently following HuggingFace's Deep RL course. The course is great so far, but I can't help but notice an error in the math typeset in optional chapter...

# Describe the bug The proposed methodology to install ml-agents does not work by default on Mac # Material Macbook Pro M2 running MacOs Ventura To install you have to...

There's another reinforcement library that I want to add into the rl-course, named DataPredict, which is for Roblox, but is not created by Roblox. Not sure if this place is...

# Describe the bug The push to hub doesnt work for Unit 2 Taxi-v3, while it worked for the frozen lake environment in the same notebook. The cell runs for...

Added note about user input devices like racing wheels/flight sim gear impacting the student's ability to select their model from the dropdown.

makes the yaml nicer to look at

I am referring to the gradient derivation [here](https://huggingface.co/learn/deep-rl-course/unit4/pg-theorem#optional-the-policy-gradient-theorem). The paragraph where the instructor claimed "we can approximate the likelihood ratio policy gradient with sample-based estimate" then term of P(τ;θ) (probability...

Issue: https://github.com/huggingface/deep-rl-class/issues/528 Solution: Use Python3 dependency.