عنوان
پدید آورنده
موضوع
رده
TJ223.M53 R44 2010
TJ223
.
M53
R44
2010
کتابخانه
محل استقرار
1439821097
9781439821091
1439821089
9781439821084
b785859
Reinforcement learning and dynamic programming using function approximators /
[Book]
Lucian Buðsoniu [and others].
Boca Raton, FL :
CRC Press,
[2010]
1 online resource (xiii, 270 pages) :
illustrations
Automation and control engineering
Includes bibliographical references and index.
ch. 1. Introduction -- ch. 2. An introduction to dynamic programming and reinforcement learning -- ch. 3. Dynamic programming and reinforcement learning in large and continuous spaces -- ch. 4. Approximate value iteration with a fuzzy representation -- ch. 5. Approximate policy iteration for online learning and continuous-action control -- ch. 6. Approximate policy search with cross-entropy optimization of basis functions.
0
From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those dev.
Ingram Content Group
TANDF_211565
Reinforcement learning and dynamic programming using function approximators.
9781439821084
Digital control systems.
Dynamic programming.
Digital control systems.
Dynamic programming.
TECHNOLOGY & ENGINEERING-- Automation.
TEC-- 004000
629
.
8/9
22
TJ223
.
M53
R44
2010
Busoniu, Lucian.
20201206234422.0
pn
مطالعه متن کتاب [Book]
Y
