huggingface/deep-rl-class
A free open-source course by Hugging Face teaching deep reinforcement learning theory and implementation with hands-on exercises.
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This repository hosts the complete Deep Reinforcement Learning Course by Hugging Face, covering fundamentals of RL algorithms, deep Q-learning, policy gradients, and multi-agent systems. It provides theory materials in MDX format alongside practical Jupyter notebooks for hands-on training of agents in environments like Doom, Mario, and Soccer. The course aims to make deep RL accessible through structured lessons and executable code examples.
Frequently asked
- What is huggingface/deep-rl-class?
- A free open-source course by Hugging Face teaching deep reinforcement learning theory and implementation with hands-on exercises.
- Is deep-rl-class open source?
- Yes — huggingface/deep-rl-class is open source, released under the Apache-2.0 license.
- What language is deep-rl-class written in?
- huggingface/deep-rl-class is primarily written in MDX.
- How popular is deep-rl-class?
- huggingface/deep-rl-class has 5k stars on GitHub.
- Where can I find deep-rl-class?
- huggingface/deep-rl-class is on GitHub at https://github.com/huggingface/deep-rl-class.