🤗 Deep Reinforcement Learning Course

This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!

In this course, you will:
- 📖 Study Deep Reinforcement Learning in theory and practice.
- 🧑‍💻 Learn to use famous Deep RL libraries such as Stable Baselines3, RL Baselines3 Zoo, Sample Factory and CleanRL.
- 🤖 Train agents in unique environments such as SnowballFight, Huggy the Doggo 🐶, VizDoom (Doom) and classical ones such as Space Invaders, PyBullet and more.
- 💾 Share your trained agents with one line of code to the Hub and also download powerful agents from the community.
- 🏆 Participate in challenges where you will evaluate your agents against other teams. You’ll also get to play against the agents you’ll train.
- 🎓 Earn a certificate of completion by completing 80% of the assignments.

And more!

At the end of this course, you’ll get a solid foundation from the basics to the SOTA (state-of-the-art) of methods.

The course is composed of:
- A theory part: where you learn a concept in theory.
- A hands-on: where you’ll learn to use famous Deep RL libraries to train your agents in unique environments. These hands-on will be Google Colab notebooks with companion tutorial videos if you prefer learning with video format!
- Challenges: you’ll get to put your agent to compete against other agents in different challenges. There will also be a leaderboard for you to compare the agents’ performance.

Link: Course

Navigational hashtags: #armcourse
General hashtags: #reinforcementlearning #rl #deeprl #agents #hf #huggingface

@data_science_weekly