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| <link rel="modulepreload" href="/docs/deep-rl-course/pr_587/en/_app/immutable/chunks/EditOnGithub.858acfec.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Introduction to Deep Reinforcement Learning","local":"introduction-to-deep-reinforcement-learning","sections":[],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="introduction-to-deep-reinforcement-learning" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#introduction-to-deep-reinforcement-learning"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Introduction to Deep Reinforcement Learning</span></h1> <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/thumbnail.jpg" alt="Unit 1 thumbnail" width="100%"> <p data-svelte-h="svelte-1n1ak13">Welcome to the most fascinating topic in Artificial Intelligence: <strong>Deep Reinforcement Learning.</strong></p> <p data-svelte-h="svelte-18qladf">Deep RL is a type of Machine Learning where an agent learns <strong>how to behave</strong> in an environment <strong>by performing actions</strong> and <strong>seeing the results.</strong></p> <p data-svelte-h="svelte-2548rb">In this first unit, <strong>you’ll learn the foundations of Deep Reinforcement Learning.</strong></p> <p data-svelte-h="svelte-xcqpqx">Then, you’ll <strong>train your Deep Reinforcement Learning agent, a lunar lander to land correctly on the Moon</strong> using <a href="https://stable-baselines3.readthedocs.io/en/master/">Stable-Baselines3 </a>, a Deep Reinforcement Learning library.</p> <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/lunarLander.gif" alt="LunarLander"> <p data-svelte-h="svelte-qeetmg">And finally, you’ll <strong>upload this trained agent to the Hugging Face Hub 🤗, a free, open platform where people can share ML models, datasets, and demos.</strong></p> <p data-svelte-h="svelte-ergnfr">It’s essential <strong>to master these elements</strong> before diving into implementing Deep Reinforcement Learning agents. The goal of this chapter is to give you solid foundations.</p> <p data-svelte-h="svelte-1akna90">After this unit, in a bonus unit, you’ll be <strong>able to train Huggy the Dog 🐶 to fetch the stick and play with him 🤗</strong>.</p> <video src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/huggy.mp4" type="video/mp4" controls autoplay loop mute></video> <p data-svelte-h="svelte-vkoquy">So let’s get started! 🚀</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/deep-rl-class/blob/main/units/en/unit1/introduction.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
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