.jpg)
Deep Reinforcement Learning Applications in Autonomous Systems and Decision Making
Ms. Jeyarani R ,K. Nanthitha ,Dr Sweta Kumari, Kishore Balasubramanian
Indexed In: google scholar
Release Date: 04/03/2025 | Copyright:©2025 | Pages: 436
DOI: 10.71443/9789349552982
ISBN10: 9349552981 | ISBN13: 9789349552982
Deep Reinforcement Learning Applications in Autonomous Systems and Decision Making explores the integration of deep reinforcement learning (DRL) in developing intelligent, adaptive, and autonomous systems. This book covers fundamental DRL concepts, algorithms, and architectures, emphasizing their applications in robotics, self-driving vehicles, industrial automation, and smart healthcare. It delves into policy optimization, model-based learning, and multi-agent reinforcement learning for complex decision-making. Practical case studies illustrate real-world implementations, addressing challenges like safety, generalization, and computational efficiency. Designed for researchers, engineers, and AI practitioners, this book provides insights into cutting-edge DRL advancements shaping the future of autonomy and intelligent decision-making systems.
Deep Reinforcement Learning (DRL) has revolutionized autonomous systems and decision-making across various domains by enabling agents to learn optimal strategies through interactions with dynamic environments. This coverage explores DRL’s applications in robotics, self-driving cars, healthcare, finance, cybersecurity, and industrial automation. It highlights key algorithms such as Deep Q-Networks (DQN), Policy Gradient methods, and Actor-Critic architectures, demonstrating their role in real-time adaptation and intelligent control. Additionally, challenges like sample efficiency, safety constraints, and explainability are discussed. By leveraging DRL, autonomous systems can achieve superior performance in complex, uncertain scenarios, paving the way for advancements in artificial intelligence-driven decision-making.
Ms. Jeyarani R presently working as a senior assistant professor from Department of computer science, New horizon college, Kasturi nagar, Bangalore, she has 13 years of teaching experience in UG and PG. She has received her PG degree from St peters engineering college, Anna university, Chennai with Information Technology specialization and M. Phil degree from Manonmaniam sundaranar university, Tirunelveli, with Information Technology specialization. She has qualified in NET exam conducted by UGC. She has presented papers in both national and International conferences. She has published research papers in scopus indexed journal. She is a research scholar at Bharathiar university, Coimbatore. Area of interest are machine learning and image processing.
K. Nanthitha is a dedicated and dynamic Assistant Professor of English Literature and an accomplished Language Trainer with a strong background in literary analysis, professional communication, and soft skills training. With over two years of academic experience and three years of research guidance, she specializes in fostering student engagement through interactive lectures, critical literary discourse, and structured professional development. Her expertise spans literary criticism, language training, and soft skills coaching, backed by industry exposure in corporate communication. Passionate about student-centric learning, she has successfully guided numerous aspirants in enhancing their technical language skills and professional communication. Beyond teaching, Dr. Nanthitha is actively involved in research, content development, and proofreading, with journal certifications reflecting her contributions to contemporary literary studies. A recipient of multiple certifications from IIT Madras, IIT Kanpur, and IIT Kharagpur, she is committed to continuous learning and excellence in education.
Dr Sweta Kumari, Assistant Professor in the Department of Applied Science and Humanities, IET, Dr Ram Manohar Lohia Avadh University Ayodhya, Uttar Pradesh. She is Post Graduated in Public Administrations(BHU, Varanasi), Economics ( IGNOU) and Mass Communication. She Has Qualified UGC NET-JRF in Public Administration and Economics with a PhD degree in Public Policy Law and Governance, Central University of Rajasthan. She has a long teaching experience at Under Graduate and Post- Graduate level. She has participated and Presented her research papers in More than 60 National and International seminars and Conferences. She has also actively participated in workshops more than 40 offline And in more than 50 online workshops and webinars. She has Published more than 25 research papers in the reputed scopus index journals and two edited books, 4 book authors and 3 patents published. She has also held several roles like the member of the Board of Studies, Academic Counselors, questions paper moderator and setters etc.
Kishore Balasubramanian has more than 22 years of academic experience in imparting Engineering Education. He had his Bachelor’s Degree in Electronics & Instrumentation from Bharathiar University, India, Master’s Degree in Applied Electronics from Anna University, India and Ph.D (Information and Communication Engineering) from Anna University, India. His research interests include Medical Image Processing and Soft Computing Techniques. He is an active reviewer and editorial board member in many SCI and Scopus indexed scientific journals. Recently he is listed in the Golden Reviewers list of IETE Journal of Research. He has served as a Technical Committee Member, Sessions Chair and delivered Keynote Address in National and International Conferences. He has authored books in Analog Electronics and AI for medical diagnosis and book chapters. He has published 70 papers in International and National journals (Springer, Elsevier, Taylor and Francis, Wiley, Sage etc.). He has been granted 6 Indian patents and has published 3 patents. He has been nominated as a “Bentham Ambassador” – Bentham Science Publications for year 2022-23 and active reviewer award from Betham Publishers. He is serving as an Academic Editor in PLOS ONE journal, Trails (BMC Springer), MODA(Wiley), Societal Impacts(Elsevier), European Journal of Artificial Intelligence and Machine Learning, Exploration (Wiley). He has received grants from CSIR, DRDO (Government Funding agencies) for conducting Faculty Development Programmes, Workshops and Conferences. He is serving as an Expert Committee Member for Research Proposal Schemes enacted by the Government of India such as SERB, DST. He is a member of ACM, ISTE, IRED, IEEE (Society Affiliate), ISDS, ICICS and IAENG. Presently he is working as an Associate Professor in the Department of EEE and Associate Dean - Corporate Relations at Dr. Mahalingam College of Engineering & Technology, India