"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
This book is a comprehensive guide to one of the most exciting fields in artificial intelligence. This book blends foundational theory with cutting-edge algorithms and real-world applications, offering readers a practical and intuitive understanding of how intelligent agents learn through interaction.
Designed for students, researchers, and professionals, the book covers key concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, temporal difference learning, deep reinforcement learning, and multi-agent systems. With a balance of mathematical rigor and accessible explanations, it serves as both a learning resource and a reference guide for applying RL to solve complex problem across domains.
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Miss. Pranali B. Dhawas, Miss. Ramadevi V. Salunkhe, Dr. Madhuri Rao, Dr. Anuja Bokhare, Mr. Shyam S. Nair
Miss. Pranali Dhawas is an accomplished educator and technologist with over seven years of experience in academia and research. Known for her dedication to teaching and her continuous pursuit of emerging technologies, she has made significant contributions across the domains of education, innovation, and scholarly research.
Miss. Dhawas began her academic journey with RTMNU Nagpur University and, since 2022, has been a valued faculty member at G H Raisoni College of Engineering, Nagpur. Her passion for knowledge dissemination has led her to author multiple books, book chapters, and a wide array of research papers, many of which have been published in reputed journals indexed in prestigious databases.
Her research interests Machine Learning, Deep Learning, Data Analytics, Big Data, Data Pre-processing, and Natural Language Processing. These diverse areas reflect her commitment to advancing interdisciplinary knowledge and fostering innovation. Beyond her academic achievements, she brings robust technical acumen to her work, effectively bridging the gap between theoretical learning and practical application in industry contexts.
