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@article{185235,
        author = {Dr V Subrahmanyam and Dr M. V. Siva Prasad},
        title = {The Role of Block Chain Technology in Securing Digital Transactions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {439-443},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185235},
        abstract = {— Autonomous systems are rapidly evolving, from self-driving cars and robotic manufacturing to intelligent drones and smart grid management. A critical challenge in their development is enabling these systems to learn and adapt to dynamic, uncertain, and often complex environments. Traditional control methods often struggle with real-world variability and optimality in novel situations. This article explores the significant potential of Reinforcement Learning (RL) as a paradigm for enhancing the intelligence, adaptability, and robustness of autonomous systems. We discuss the fundamental principles of RL, its advantages over conventional approaches, key applications, current challenges, and future research directions that aim to unlock the full capabilities of truly intelligent autonomous agents},
        keywords = {Autonomous Systems, Reinforcement Learning, Artificial Intelligence, Robotics, Adaptive Control, Machine Learning.},
        month = {October},
        }