| 000 | 02551cam a22003618i 4500 | ||
|---|---|---|---|
| 999 |
_c18931 _d18931 |
||
| 001 | 22848762 | ||
| 005 | 20240206095538.0 | ||
| 008 | 221101s2023 nju b 001 0 eng | ||
| 010 | _a 2022052831 | ||
| 020 | _a9781119808572 | ||
| 020 | _z9781119808589 | ||
| 020 | _z9781119808596 | ||
| 040 |
_aDLC _beng _erda _cDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQ325.6 _b.F37 2023 |
| 082 | 0 | 0 |
_aDC 006.31 _22023 _bF25 |
| 100 | 1 |
_aFarsi, Milad, _eauthor. _951499 |
|
| 245 | 1 | 0 |
_aModel-based reinforcement learning : _bfrom data to continuous actions with a Python-based toolbox / _cMilad Farsi (University of Waterloo), Jun Liu (University of Waterloo). |
| 260 |
_aHoboken, New Jersey : _bJohn Wiley & Sons, _c©2023. |
||
| 263 | _a2301 | ||
| 300 |
_axxxv, 226 pages : _c23 cm. |
||
| 490 | 0 | _aWiley-IEEE press book series on control systems theory and applications | |
| 504 | _aIncludes 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"-- | ||
| 650 | 0 |
_aReinforcement learning. _951500 |
|
| 650 | 0 |
_aReinforcement learning _xMathematical models. _951501 |
|
| 700 | 1 |
_aLiu, Jun _c(Professor of applied mathematics), _eauthor. _951502 |
|
| 776 | 0 | 8 |
_iOnline version: _aFarsi, Milad. _tModel-based reinforcement learning _dHoboken, New Jersey : Wiley, [2023] _z9781119808589 _w(DLC) 2022052832 |
| 365 |
_b12,618.00 _cPhp |
||
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2ddc _cDC |
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