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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-flight/
课程评论：没有评论
**课程名称：** 强化学习：Unity ML-Agents 驱动的 AI 飞行 **课程概述：** 本课程面向对人工智能与电子游戏交叉领域感兴趣的学习者。Unity ML-Agents 是一个直观的机器学习工具，允许你在 3D 实时环境中观察神经网络通过奖励机制进行学习。与 OpenAI Gym 等简化示例不同，ML-Agents 更具趣味性，因为它能直接应用于你自己的游戏创意。 在本课程中，你将学习： * **ML-Agents 入门：** 了解 ML-Agents 的使用方法和训练示例。 * **自定义游戏资产：** 使用 Blender 创建游戏所需的自定义模型（可选）。 * **构建飞行环境：** 创建一个完整的飞机代理训练环境，训练它们在不碰撞障碍物的情况下通过检查点。 * **开发完整游戏：** 将训练好的 AI 代理集成到一个完整的游戏中，包含菜单、关卡和难度选择功能。 **重要提示：** * **前提知识：** 本课程**不**涵盖深度学习或强化学习的基础知识。重点在于如何使用 ML-Agents，它将底层复杂性抽象化，让你专注于环境搭建和奖励设计。 * **版本更新：** 课程内容已从 ML-Agents 0.11 版本更新至 1.0 版本。 **课程收益：** 完成课程后，你将获得一个完整的、可自定义的游戏项目，可以分享给朋友、添加到作品集或在游戏市场销售。
Interested in the intersection of video games and artificial intelligence? If so, you will love Unity ML-Agents.Reinforcement Learning with ML-Agents is naturally more intuitive than other machine learning approaches because you can watch your neural network learn in a real-time 3d environment based on rewards for good behavior. It's more fun because you can easily apply it to your own video game ideas rather than working with simplified example problems in a library like OpenAI Gym.In this course, we will create a complete game with incredibly challenging AI opponents.We'll start with an introduction to ML-Agents, including how to use and train the example content.Then, we'll use Blender to make custom assets for our game (you can skip that part if you just want to code).Next, we'll create a full environment for the airplane agents and train them to fly through checkpoints without crashing into obstacles.Finally, we'll take our trained agents and build a full game around them that you can play, including menus for level and difficulty selection.Important note 1: We DO NOT cover the foundations of deep learning or reinforcement learning in this course. We will focus on how to use ML-Agents, which abstracts the hard stuff and allows us to focus on building our training environment and crafting rewards.Important note 2: While the course was originally recorded with ML-Agents version 0.11, we have updated it for version 1.0.As you work through the course, you'll have plenty of opportunities to customize it and make it your own. At the end, you'll have a complete game that you can share with friends, add to your portfolio, or sell on a game marketplace.
