Youtor
Introduction to Deep Reinforcement Learning Deep RL Course
YOUR LINK HERE:
http://youtube.com/watch?v=q0BiUn5LiBc
In this first video of the Hugging Face Deep Reinforcement Learning Class 🤗 you’ll learn the fundamentals of deep reinforcement learning: the RL process, the reward hypothesis, policy-based methods, value based-methods... Then, you'll train your first lander agent 🚀 to land correctly on the Moon 🌕 using Stable-Baselines3 and share it with the community. • This video is the first Unit of the Hugging Face Deep Reinforcement Learning Class 🤗, a free course from beginner to expert where 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 Hugging Face Hub. But also download powerful agents from the community. • 🏆 Participate in challenges where you will evaluate your agents against other teams. • 🖌️🎨 Learn to share your own environments made with Unity and Godot. • ➡️➡️➡️ Don't forget to sign up here: http://eepurl.com/ic5ZUD • 📚 The course: https://huggingface.co/deep-rl-course... • 👩💻 The hands-on where you'll train your first lander agent 🚀 to land correctly on the Moon 🌕 using Stable-Baselines3 and share it with the community is on the website: https://huggingface.co/deep-rl-course... • MIT Introduction to Deep Learning: http://introtodeeplearning.com/ • Timeline: • 0:00 - 2:05: Introduction • 2:06 - 4:03: The RL definition • 4:04 - 5:03: The RL Loop • 5:04 - 5:32: Reward Hypothesis • 5:34 - 6:12: Markov Property • 6:13 - 7:34: Observation Space • 7:35 - 8:34: Action Space • 8:35 - 10:43: Rewards and discounting • 10:44 - 13:54: Exploration/Exploitation tradeoff • 13:55 - 15:02: The Policy • 15:03 - 17:03: Policy-based methods • 17:04 - 19:23: Value-based methods • 19:24 - 20:43: The Deep in Deep RL • 20:44 - 22:14: Conclusion • Don’t forget 👍 to like the video, subscribe, and ring the bell 🔔 so that you don’t miss the next video. • And don't forget to follow me on twitter: / thomassimonini • Keep Learning, Stay Awesome
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