Srete Nikolovski
Papers
1
Total Citations
139
H-Index
1
About
Srete Nikolovski is a leading researcher in artificial intelligence and machine learning, with a primary focus on reinforcement learning (RL) and its real-world applications. His most impactful contribution is the highly cited 2023 review, *"A Systematic Study on Reinforcement Learning Based Applications,"* which has garnered 139 citations. In this seminal work, Nikolovski systematically analyzed 127 publications to map RL's transformative role across diverse domains, including marketing, robotics, gaming, autonomous vehicles, natural language processing (NLP), IoT security, recommendation systems, finance, and energy management. This comprehensive synthesis has become a foundational resource for researchers and practitioners alike, offering a clear taxonomy of RL's current capabilities and future potential. Beyond this review, Nikolovski's work is distinguished by its emphasis on optimization—bridging theoretical RL advances with practical, high-impact solutions. His research not only highlights the versatility of reinforcement learning but also provides a roadmap for tackling complex, real-world challenges, making him a key figure in the ongoing evolution of intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1A Systematic Study on Reinforcement Learning Based Applications139 citations · 2023