14 citations · 31 across the 5 of their papers we have counts for
5 papers
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
Se-Wook Yoo, Seung-Woo Seo
Safe reinforcement learning has traditionally relied on predefined constraint functions to ensure safety in complex real-world tasks, such as autonomous driving. However, defining…
Traversability-aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain
Se-Wook Yoo, E In Son, Seung-Woo Seo
Autonomous navigation in extreme mountainous terrains poses challenges due to the presence of mobility-stressing elements and undulating surfaces, making it particularly difficult…
Hybrid UAV-enabled Secure Offloading via Deep Reinforcement Learning
Seonghoon Yoo, Seongah Jeong, Joonhyuk Kang
Unmanned aerial vehicles (UAVs) have been actively studied as moving cloudlets to provide application offloading opportunities and to enhance the security level of user equipments…
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning
Se-Wook Yoo, Seung-Woo Seo
Many robotic tasks are composed of a lot of temporally correlated sub-tasks in a highly complex environment. It is important to discover situational intentions and proper actions b…
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
Se-Wook Yoo, Chan Kim, Jin-Woo Choi +2
Applying reinforcement learning to autonomous driving entails particular challenges, primarily due to dynamically changing traffic flows. To address such challenges, it is necessar…