4 papers
Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
Jinwoo Choi, Sang-Hyun Lee, Seung-Woo Seo
Offline goal-conditioned reinforcement learning remains challenging for long-horizon tasks. While hierarchical approaches mitigate this issue by decomposing tasks, most existing me…
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
Jinwoo Choi, Seung-Woo Seo
Reinforcement learning (RL) has made significant progress in various domains, but scaling it to long-horizon tasks with complex decision-making remains challenging. Skill learning…
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…
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
Sang-Hyun Lee, Daehyeok Kwon, Seung-Woo Seo
Recent reinforcement learning (RL) algorithms have demonstrated impressive results in simulated driving environments. However, autonomous vehicles trained in simulation often strug…