Reinforcement learning and dynamic programming using function approximators /
نام عام مواد
[Book]
نام نخستين پديدآور
Lucian Buðsoniu [and others].
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Boca Raton, FL :
نام ناشر، پخش کننده و غيره
CRC Press,
تاریخ نشرو بخش و غیره
[2010]
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (xiii, 270 pages) :
ساير جزييات
illustrations
فروست
عنوان فروست
Automation and control engineering
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Ingram Content Group
شماره انبار
TANDF_211565
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Reinforcement learning and dynamic programming using function approximators.