Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Reinforcement Learning: Autonomous Systems, Ethical Ai, Robotics

Reinforcement Learning: Autonomous Systems, Ethical Ai, Robotics

Tito Ayyalasomayajula, Madan Mohan
R, Sivarethinamohan

Hardcover

General ComputersProgramming

ISBN10: 3111633594
ISBN13: 9783111633596
Publisher: de Gruyter
Published: Jul 20 2026
Pages: 843
Weight: 3.37
Height: 1.75 Width: 6.69 Depth: 9.61
Language: English
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.

Also in

General Computers

View All