Bouziane Brik
Papers
1
Total Citations
18
H-Index
1
About
Bouziane Brik is a leading researcher at the intersection of artificial intelligence and autonomous systems, with a primary focus on deep reinforcement learning (DRL) and its real-world deployment. His most cited work, a comprehensive 2025 survey on DRL applications in autonomous systems, has already garnered 18 citations, establishing him as a key voice in the field. In this survey, Brik systematically maps how DRL is revolutionizing autonomous vehicles, robotics, and drone technology, while critically identifying open challenges and future research directions. His contributions go beyond mere cataloging; he provides a structured framework for understanding the practical hurdles—such as safety, sample efficiency, and transfer learning—that must be overcome for DRL to achieve widespread adoption in safety-critical autonomous systems. Brik’s work is particularly valued for bridging the gap between theoretical advances in reinforcement learning and the stringent requirements of real-world engineering. By highlighting both the transformative potential and the persistent obstacles, his research serves as an essential roadmap for students and engineers alike, guiding the next generation of intelligent, self-governing machines.
Research Focus
Key Achievements
Top Papers
- 1