| 书目名称 | Reinforcement Learning From Scratch | | 副标题 | Understanding Curren | | 编辑 | Uwe Lorenz | | 视频video | | | 概述 | An introduction to reinforcement learning that is hands-on and accessible using Java and Greenfoot.Enables implementation of RL algorithms using easy-to-understand examples and implementations.Suitabl | | 图书封面 |  | | 描述 | .In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work? ..With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.Kölling, King‘s College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts. .The result is an accessible introduction into machine learning that concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowed to play along, experiment, and add their own ideas and experiments. | | 出版日期 | Textbook 20221st edition | | 关键词 | Machine Learning; Artificial Intelligence; Reinforcement Learning; SARSA; Q-Learning; Policy Gadient; Acto | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-09030-1 | | isbn_softcover | 978-3-031-09032-5 | | isbn_ebook | 978-3-031-09030-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:02:12
