Sunah Jung
Papers
1
Total Citations
6
H-Index
1
About
Sunah Jung is a researcher at the intersection of artificial intelligence and robotics, with a primary focus on reinforcement learning and multi-agent systems. Her most notable contribution is the pioneering work "Robot Soccer Using Deep Q Network" (2018), which demonstrates how deep reinforcement learning can solve complex decision-making problems in dynamic, real-time environments like the RoboCup. By applying the Deep Q Network algorithm to four distinct robotic soccer scenarios, Jung showed that intelligent agents could learn sophisticated strategies—such as ball interception and coordinated team play—without explicit programming. Though her citation count of 6 reflects the early-stage nature of this work, its impact is significant as one of the first practical validations of deep RL in competitive robotics. Jung’s research bridges the gap between theoretical AI advances and tangible robotic applications, offering a blueprint for autonomous systems that must adapt and cooperate under uncertainty. Her work continues to inspire students and researchers exploring how reinforcement learning can unlock new capabilities in embodied agents, from sports robotics to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Robot Soccer Using Deep Q Network6 citations · 2018