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Reinforcement Learning

Autonomous Systems, Ethical AI, Robotics

Language EnglishEnglish
Book Hardback
Book Reinforcement Learning Madan Mohan Tito Ayyalasomayajula
Libristo code: 51535169
Publishers De Gruyter, May 2026
This book critically examines the ongoing transformation within Reinforcement Learning (RL), driven... Full description
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This book critically examines the ongoing transformation within Reinforcement Learning (RL), driven by significant advancements in computational power, algorithmic innovation, and interdisciplinary applications. As a vital branch of artificial intelligence, RL facilitates agents' learning through interactions with their environment, increasingly underpinning the optimization of complex systems and enhancing decision-making capabilities. Its diverse applications, spanning autonomous vehicles, robotics, personalized recommendations, and financial trading, underscore RL's role as a foundational technology for future innovations. Given the pervasive integration of artificial intelligence across industries, a reimagining of RL is essential to address the multifaceted challenges posed by today's complex and dynamic environments. This work rigorously bridges theoretical developments with practical implementations, elucidating how RL can be harnessed to design adaptive systems capable of continuous improvement. By engaging with these emerging paradigms, this publication provides scholars and practitioners with the critical insights necessary to advance RL and AI, positioning them at the forefront of the next wave of technological progress.

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About the book

Full name Reinforcement Learning
Language English
Binding Book - Hardback
Date of issue 2026
Number of pages 850
EAN 9783111633596
Libristo code 51535169
Publishers De Gruyter
Weight 500
Dimensions 170 x 240
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