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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-for-simple-games/
课程评论：没有评论
课程名称：简单游戏的人工智能 概述：你是否希望能够利用深度学习和机器学习的力量来打造智能游戏机器人？如果你在寻找一种创造性的方式来深入了解人工智能，那么“简单游戏的人工智能”将是你获得持久知识的关键。在趣味和灵活的简单游戏环境中，例如贪吃蛇、旅行销售员问题、迷宫等，你将学习并测试基本的深度学习和机器学习算法。 1. 无论你是完全的初学者还是经验丰富的机器学习专家，这门课程都将为你提供构建游戏环境及其他领域的人工智能所需的基本和高级概念的坚实基础。 2. 课程涵盖的关键算法和概念包括：遗传算法、Q学习、基于人工神经网络和卷积神经网络的深度Q学习。 3. 通过SuperDataScience备受喜爱的互动学习环境，逐步构建知识和直觉，配合有趣且具有挑战性的案例研究。 4. 课程的代码灵活性使学生能够尝试不同的游戏场景，并将所学知识轻松应用于游戏行业之外的商业问题。 “简单游戏的AI”课程大纲： 第一部分 - 通过将著名的旅行销售员问题应用于一个星际游戏，深入了解遗传算法。挑战在于建造一艘太空船，尽可能快地穿越所有行星！ 第二部分 - 学习无模型强化学习算法Q学习的基础知识。培养直觉和可视化技能，并尝试构建自定义迷宫，设计一个能够找到出路的人工智能。 第三部分 - 深入探讨深度Q学习。体验神经网络的奇妙世界，使用OpenAI Gym开发环境，学习如何为许多其他简单游戏构建人工智能。 第四部分 - 通过构建你自己的经典游戏贪吃蛇来完成课程！在这里，你将利用卷积神经网络，构建一个能够模拟我们玩贪吃蛇时的行为的人工智能。 这门课程将为你提供开发具有智能的游戏机器人所需的知识与技能，让你在游戏和业务世界中获得实际应用的能力。
Ever wish you could harness the power of Deep Learning and Machine Learning to craft intelligent bots built for gaming?If you're looking for a creative way to dive into Artificial Intelligence, then ‘Artificial Intelligence for Simple Games' is your key to building lasting knowledge.Learn and test your AI knowledge of fundamental DL and ML algorithms using the fun and flexible environment of simple games such as Snake, the Travelling Salesman problem, mazes and more.1. Whether you're an absolute beginner or seasoned Machine Learning expert, this course provides a solid foundation of the basic and advanced concepts you need to build AI within a gaming environment and beyond.2. Key algorithms and concepts covered in this course include: Genetic Algorithms, Q-Learning, Deep Q-Learning with both Artificial Neural Networks and Convolutional Neural Networks.3. Dive into SuperDataScience's much-loved, interactive learning environment designed to build knowledge and intuition gradually with practical, yet challenging case studies.4. Code flexibility means that students will be able to experiment with different game scenarios and easily apply their learning to business problems outside of the gaming industry.‘AI for Simple Games' CurriculumSection #1 - Dive into Genetic Algorithms by applying the famous Travelling Salesman Problem to an intergalactic game. The challenge will be to build a spaceship that travels across all planets in the shortest time possible!Section #2 - Learn the foundations of the model-free reinforcement learning algorithm, Q-Learning. Develop intuition and visualization skills, and try your hand at building a custom maze and design an AI able to find its way out.Section #3 - Go deep with Deep Q-Learning. Explore the fantastic world of Neural Networks using the OpenAI Gym development environment and learn how to build AIs for many other simple games!Section #4 - Finish off the course by building your very own version of the classic game, Snake! Here you'll utilize Convolutional Neural Networks by building an AI that mimics the same behavior we see when playing Snake.
