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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-reinforcement-learning-a-hands-on-tutorial-in-python/
课程评论：没有评论
课程名称：深度强化学习：Python实战AI教程 课程概述： 本课程深入探讨强化学习（Reinforcement Learning, RL）的概念和基础知识，重点阐述其与人工智能（AI）和机器学习（Machine Learning, ML）的关系。学员将学习如何将实际问题在强化学习和马尔可夫决策过程（Markov Decision Process, MDP）的框架下进行建模。课程内容涵盖了多种基础算法，包括Q-Learning、SARSA以及深度Q-Learning（Deep Q-Learning）。此外，课程还将从零开始，详细讲解两个项目的完整实现，一个基于Q-learning，另一个基于Deep Q-Network。 课程重点： * 强化学习基础概念和原理 * 强化学习与AI、ML的关系 * 将问题建模为强化学习问题及MDP * Q-Learning算法 * SARSA算法 * 深度Q-Learning (DQN) 算法 * 基于Q-learning的项目实战 * 基于Deep Q-Network的项目实战
In this course we learn the concepts and fundamentals of reinforcement learning, it's relation to artificial intelligence and machine learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different fundamental algorithms including Q-Learning, SARSA as well as Deep Q-Learning. We present the whole implementation of two projects from scratch with Q-learning and Deep Q-Network.
