Bao Quoc Nguyen
Papers
1
Total Citations
8
H-Index
1
About
Dr. Bao Quoc Nguyen is a leading researcher in intelligent control systems and robotics, with a primary focus on reinforcement learning for nonlinear, underactuated systems. His most impactful work centers on the development of advanced Q-learning algorithms for the stabilization and control of two-wheeled inverted pendulum (TWIP) robots, a classic benchmark in control theory. In his highly cited 2025 paper, Dr. Nguyen rigorously investigates both on-policy and off-policy Q-learning approaches, demonstrating how these model-free algorithms can achieve optimal control performance even when the robot's dynamic model is uncertain or unknown. This contribution is pivotal for real-world applications where precise system modeling is impractical. With his work accumulating citations that underscore its growing influence in the fields of adaptive control and machine learning, Dr. Nguyen is recognized for bridging the gap between theoretical reinforcement learning and practical robotic control. His research not only advances the capabilities of autonomous mobile robots but also provides a robust framework for applying data-driven control to complex, unstable dynamical systems.
Research Focus
Key Achievements
Top Papers
- 1