Deep Reinforcement Learning Course
The Deep Reinforcement Learning Course is a newly launched educational initiative available for free, created in collaboration with Hugging Face 🤗. This course is designed to provide a comprehensive introduction to Deep Reinforcement Learning (Deep RL) for anyone interested, covering both theoretical concepts and practical applications.
Course Overview
This course is suitable for both beginners and those with some experience in reinforcement learning who want to deepen their understanding of Deep RL. Participants will learn to:
- Study Deep Reinforcement Learning: Gain a solid grounding in both the theory and practice of Deep RL. The course material has been designed to help learners understand complex concepts in an accessible manner.
- Utilize Famous Deep RL Libraries: Students will become familiar with popular Deep RL libraries like Stable Baselines3, RL Baselines3 Zoo, Sample Factory, and CleanRL. These libraries provide tools to implement and experiment with different reinforcement learning algorithms efficiently.
- Training Agents: The course provides hands-on experience in training AI agents in a variety of environments. These range from novel settings such as SnowballFight and Huggy the Doggo 🐶, to more traditional ones like MineRL (based on Minecraft ⛏️), VizDoom (from the Doom series), and classic games like Space Invaders and PyBullet simulations.
- Publishing and Sharing: Once agents are trained, learners can publish them to the Hugging Face Hub with just a single line of code. This feature makes it easy to share work with a wider community, as well as download and learn from agents developed by others.
- Participate in Challenges: The course encourages participation in various challenges where students can pit their trained agents against those of other teams. Additionally, there is the opportunity to directly play and compete against AI agents that participants have trained themselves.
Additional Information
To learn more about the course and enroll, interested individuals can visit the course page and register here. The complete syllabus is available here, providing detailed information on what each unit of the course will cover.
This course offers a valuable opportunity to get involved with an active community, stay updated with the latest advancements in reinforcement learning, and enhance practical skills by applying them in fun and challenging environments. Whether you’re training agents for a snowy battlefield or constructing strategies in a pixelated universe, this course aims to make learning an engaging and enriching experience.