Teckchai Tiong
Papers
1
Total Citations
39
H-Index
1
About
Dr. Teckchai Tiong is a leading researcher in deep reinforcement learning, with a particular focus on advancing continuous control systems for autonomous driving and robotics. His most cited work, "Deep Reinforcement Learning with Robust Deep Deterministic Policy Gradient" (2020, 39 citations), addresses critical stability issues in the popular DDPG algorithm, which often suffers from hyperparameter sensitivity and training instability. By introducing robust modifications, Tiong's research enhances the reliability and performance of DDPG in real-world applications, making it more practical for deployment in safety-critical environments. His contributions have been instrumental in bridging the gap between theoretical reinforcement learning and robust, real-time control systems. Beyond his flagship paper, Tiong continues to explore novel approaches to improve algorithm resilience, earning recognition among peers for his methodical problem-solving and impactful innovations. His work not only advances the field of artificial intelligence but also provides a foundation for future developments in autonomous technologies, solidifying his reputation as a key contributor to the next generation of intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1Deep Reinforcement Learning with Robust Deep Deterministic Policy Gradient39 citations · 2020