Norazreen Abd Aziz
Papers
1
Total Citations
1
H-Index
1
About
Dr. Norazreen Abd Aziz is a leading researcher at the forefront of Artificial Intelligence, with a primary focus on Reinforcement Learning (RL) and autonomous systems. Her seminal work, "A Review of Reinforcement Learning Evolution: Taxonomy, Challenges and Emerging Solutions," published in 2025, has already garnered attention with 1 citation, establishing a foundational framework for understanding the rapid advancements in RL. Dr. Aziz’s major contribution lies in systematically categorizing the evolutionary trajectory of RL—from its core algorithms to the pressing challenges of scalability, sample efficiency, and safety in real-world deployment. By mapping out emerging solutions, she provides a critical roadmap for researchers and engineers navigating the complexities of self-sufficient machines. Her taxonomy not only clarifies the current state of the field but also highlights underexplored avenues, driving innovation in how machines learn and make decisions autonomously. With a clear, analytical voice, Dr. Aziz bridges theoretical advances and practical applications, making her work indispensable for students and professionals alike. Her ongoing research continues to shape the next generation of intelligent, adaptive systems, positioning her as a key voice in the evolution of AI.
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Top Papers
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