We're launching a new free Deep Reinforcement Learning Course with Hugging Face π€ π Register here https://forms.gle/oXAeRgLW4qZvUZeu9
In this free course, you will:
- π Study Deep Reinforcement Learning in theory and practice.
- π§βπ» Learn to use famous Deep RL libraries such as Stable Baselines3, RL Baselines3 Zoo, and RLlib.
- π€ Train agents in unique environments such as SnowballFight, Huggy the Doggo πΆ, and classical ones such as Space Invaders and PyBullet.
- πΎ Publish your trained agents in one line of code to the Hub. But also download powerful agents from the community.
- π Participate in challenges where you will evaluate your agents against other teams.
- ποΈπ¨ Learn to share your own environments made with Unity and Godot.
π The syllabus: https://github.com/huggingface/deep-rl-class
π Register here https://forms.gle/oXAeRgLW4qZvUZeu9
π ARTICLE // DOOM IMPLEMENTATION
π ARTICLE // CARTPOLE IMPLEMENTATION // DOOM IMPLEMENTATION
π ARTICLE
π ARTICLE
π ARTICLE
π¨βπ» A trained RND agent that learned to play Montezuma's revenge (21 hours of training with a Tesla K80
If you have any questions, feel free to ask me:
π§: simonini.thomas.pro@gmail.com
Github: https://github.com/simoninithomas/Deep_reinforcement_learning_Course
π : https://simoninithomas.github.io/deep-rl-course/
Twitter: @ThomasSimonini
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