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21 lines
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21 lines
1.3 KiB
Plaintext
# Introduction to Deep Reinforcement Learning [[introduction-to-deep-reinforcement-learning]]
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<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/thumbnail.jpg" alt="Unit 1 thumbnail" width="100%">
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Welcome to the most fascinating topic in Artificial Intelligence: **Deep Reinforcement Learning.**
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Deep RL is a type of Machine Learning where an agent learns **how to behave** in an environment **by performing actions** and **seeing the results.**
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So in this first chapter, **you'll learn the foundations of Deep Reinforcement Learning.**
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Then, you'll **train your Deep Reinforcement Learning agent, a lunar lander to land correctly on the Moon** using <a href="https://stable-baselines3.readthedocs.io/en/master/"> Stable-Baselines3 </a> a Deep Reinforcement Learning library.
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<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/lunarLander.gif" alt="LunarLander">
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And finally, you'll **upload this trained agent to the Hugging Face Hub 🤗, a free, open platform where people can share ML models, datasets, and demos.**
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It's essential **to master these elements** before diving into implementing Deep Reinforcement Learning agents. The goal of this chapter is to give you solid foundations.
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So let's get started! 🚀
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