机读格式显示(MARC)
- 000 02663pam a2200409 i 4500
- 008 221101s2023 njua b 001 0 eng d
- 020 __ |a 9781119808572 |q (hardback)
- 020 __ |a 111980857X |q (hardback)
- 020 __ |z 9781119808589 |q (adobe pdf)
- 020 __ |z 9781119808596 |q (epub)
- 040 __ |a TJDX |b eng |c TJDX |e rda
- 050 00 |a Q325.6 |b .F37 2023
- 082 00 |a 006.3/1 |2 23/eng20230117
- 099 __ |a CAL 022023051928
- 100 1_ |a Farsi, Milad, |e author.
- 245 10 |a Model-based reinforcement learning : |b from data to continuous actions with a Python-based toolbox / |c Milad Farsi (University of Waterloo), Jun Liu (University of Waterloo).
- 260 __ |a Hoboken, New Jersey : |b Wiley, |c [2023]
- 300 __ |a xxxv, 226 pages : |b illustrations ; |c 24 cm.
- 336 __ |a text |2 rdacontent
- 337 __ |a unmediated |2 rdamedia
- 338 __ |a volume |2 rdacarrier
- 490 0_ |a Wiley-IEEE press book series on control systems theory and applications
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "Whilst reinforcement learning has gained tremendous success and popularity in recent years, most research papers and books focus on either the theory (optimal control and dynamic programming) or the algorithms (mostly simulation-based). From a control systems perspective, this book will provide a model-based framework that bridges these two aspects to provide a holistic treatment of the topic of model-based online learning control. The aim is to develop a model-based framework for data-driven control that encompasses the topics of systems identification from data, model-based reinforcement learning and optimal control, and their applications. This will be done through reviewing the classical results in system identification from a new perspective to develop more efficient reinforcement learning techniques. Hence, the focus of this book will be on presenting an end to end framework from design to application of a more tractable model-based reinforcement learning technique. The tutorial aspects of the book are enhanced by the provision of a Python-based toolbox, accessible online"-- |c Provided by publisher.
- 650 _0 |a Reinforcement learning.
- 650 _0 |a Reinforcement learning |x Mathematical models.
- 700 1_ |a Liu, Jun |c (Professor of applied mathematics), |e author.
- 776 08 |i Online version: |a Farsi, Milad. |t Model-based reinforcement learning |d Hoboken, New Jersey : Wiley, [2023] |z 9781119808589 |w (DLC) 2022052832