Скачать или смотреть AI Agent Lands Lunar on the Moon! | Deep Q-Learning | PyTorch | Reinforcement Learning | Gymnasium

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"Witness the incredible journey of an AI agent mastering the art of lunar landing! In this video, we'll dive deep into the world of reinforcement learning, using PyTorch and Deep Q-Learning to train an intelligent agent to successfully navigate the Lunar Lander environment within Gymnasium.

We'll break down the code, explain the concepts, and show you how to build your own lunar landing AI. Whether you're a seasoned machine learning enthusiast or just starting your AI journey, this tutorial will guide you through the process step-by-step.

Learn how to:

Implement Deep Q-Learning (DQN) in PyTorch.
Utilize the Gymnasium environment for reinforcement learning.
Train an AI agent to land a lunar lander.
Understand the fundamentals of reinforcement learning.
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