The Hugging Face Deep Reinforcement Learning Bootcamp 🤗

In this free bootcamp, you will:

• 📖 Study Deep Reinforcement Learning in theory and practice.
• 🧑‍💻 Learn to use famous Deep RL libraries such as Stable Baselines3, RL Baselines3 Zoo, and RLlib.
• 🤖 Train agents in unique environments such as SnowballFight, Huggy the Doggo 🐶, and classical ones such as Space Invaders and PyBullet.
• 💾 Publish your trained agents in one line of code to the Hub. But also download powerful agents from the community.

➡️➡️➡️ Don't forget to sign up here: https://forms.gle/4bbgzs3oVZMjgDed7

The best way to keep in touch is to join our discord server to exchange with the community and with us 👉🏻 https://discord.gg/aYka4Yhff9

And don't forget to share with your friends who want to learn 🤗 !

The Syllabus

Unit 1: An Introduction to Deep Reinforcement Learning

• Theory: An Introduction to Deep Reinforcement Learning
• Hands-on: Train your first agent with SB3

Bonus: Train Huggy the Doggo

Unit 2: Q-Learning

Unit 3: Deep Q-Learning and improvements

Unit 4: Policy based methods

Unit 5: Actor Critic Methods

Unit 6: Proximal Policy Optimization (PPO)

Unit 7: Decision Transformers

• Introduction to Deep Reinforcement Learning

  • Theory: C1 DRLC Introduction to Deep RL
  • Practice: Lunar Lander
  • Library: SB3
  • Bonus: Huggy

• Value based methods: Q-Learning

  • Theory: Q-Learning
  • Practice: Frozen lake updated version

• Deep Q-Learning and improvements

  • Theory: Deep Q-Learning and DDQN
  • Practice: