Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based ToolboxКНИГИ » ПРОГРАММИНГ
Название: Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox Автор: Milad Farsi, Jun Liu Издательство: Wiley-IEEE Press Год: 2023 Страниц: 275 Язык: английский Формат: pdf (true) Размер: 11.5 MB
Model-Based Reinforcement Learning Explore a comprehensive and practical approach to reinforcement learning.
Reinforcement learning is an essential paradigm of Machine Learning (ML), wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory?optimal control and dynamic programming – or on algorithms?most of which are simulation-based.
Model-Based Reinforcement Learning provides a model-based framework to bridge these two aspects, thereby creating a holistic treatment of the topic of model-based online learning control. In doing so, the authors seek to develop a model-based framework for data-driven control that bridges the topics of systems identification from data, model-based reinforcement learning, and optimal control, as well as the applications of each. This new technique for assessing classical results will allow for a more efficient reinforcement learning system. At its heart, this book is focused on providing an end-to-end framework?from design to application?of a more tractable model-based reinforcement learning technique.
Model-Based Reinforcement Learning readers will also find:
A useful textbook to use in graduate courses on data-driven and learning-based control that emphasizes modeling and control of dynamical systems from data Detailed comparisons of the impact of different techniques, such as basic linear quadratic controller, learning-based model predictive control, model-free reinforcement learning, and structured online learning Applications and case studies on ground vehicles with nonholonomic dynamics and another on quadrator helicopters An online, Python-based toolbox that accompanies the contents covered in the book, as well as the necessary code and data
Model-Based Reinforcement Learning is a useful reference for senior undergraduate students, graduate students, research assistants, professors, process control engineers, and roboticists.
Скачать Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox
Deep Reinforcement Learning for Wireless Networks Название: Deep Reinforcement Learning for Wireless Networks Автор: F. Richard Yu, Ying He Издательство: Springer Год: 2019 Язык: английский Формат:...
Навигация
Вход на сайт
Реклама
Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox 
Название: Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox
