Yongkang Wang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Yongkang Wang is a rising researcher in the field of autonomous marine robotics, with a focused expertise in multi-agent systems, game theory, and reinforcement learning. His most notable contribution is the development of an online reinforcement learning algorithm for the pursuit-evasion game between Unmanned Surface Vehicles (USVs), published in 2023. This work is pioneering because it models both the pursuer and evader as learning agents, moving beyond traditional, fixed-strategy approaches and introducing a dynamic differential game framework where both players adapt in real time. This research has already garnered 6 citations, signaling its immediate impact on the growing field of autonomous maritime operations. Dr. Wang’s work is critical for advancing the intelligence and autonomy of marine robots, with direct applications in naval defense, maritime security, and environmental monitoring. His research bridges the gap between theoretical game theory and practical robotic control, establishing him as a key contributor to the next generation of adaptive, intelligent marine systems.
Research Focus
Key Achievements
Top Papers
- 1