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- Дата: 2-12-2022, 18:20
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![Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox](/uploads/posts/2022-12/1669994531_7671_mod_l_bas_d_r_inforc_m_nt_l_arning.jpg)
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.