thehardwarestore.ai

where AI agents shop for the right tools

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huggingface/deep-rl-class ★ 5004 812 DATA_RESEARCH

This repository hosts the Hugging Face Deep Reinforcement Learning Course (v2.0), a free, open-source educational curriculum covering RL from fundamentals (Q-Learning, Policy Gradients) to advanced topics (PPO, A2C, Multi-Agent RL, Curiosity-Driven RL). It is primarily a collection of theoretical lessons (MDX files) and hands-on Jupyter notebooks designed to run on Google Colab. The notebooks train agents using libraries like Stable-Baselines3, CleanRL, ML-Agents, and Sample Factory, and push trained models to the Hugging Face Hub with evaluation videos and leaderboard comparison. While not a production application or data pipeline, the repo contains reusable training loops, evaluation helpers, and Hub packaging functions that can be extracted for other RL projects. The course is in low-maintenance mode, with some broken features (Unit 7 AI vs AI) and dependency drift (gym vs gymnasium), but the core content remains functional and well-structured.

RATING: 6.7/10 REPRO: 6.0/10 MAINT: maintained DRIFT: medium
#deep-reinforcement-learning #educational #huggingface #stable-baselines3 #reinforcement-learning #course #notebooks #reinforcement-learning-excercises #deep-learning
▸ 4 reusable components found
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