3 papers
cs.CV2026
ObsGraph: Hierarchical Observation Representation for Embodied Reasoning and Exploration
Taekbeom Lee, Youngseok Jang, Jeonghwa Heo +2
Embodied reasoning and exploration are increasingly considered crucial abilities for robots operating in complex and unfamiliar environments. To accomplish tasks in such settings,…
cs.LG2025
Periodic Skill Discovery
Jonghae Park, Daesol Cho, Jusuk Lee +3
Unsupervised skill discovery in reinforcement learning (RL) aims to learn diverse behaviors without relying on external rewards. However, current methods often overlook the periodi…
cs.RO2025
Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
Gawon Lee, Daesol Cho, H. Jin Kim
Multi-task reinforcement learning (MTRL) offers a promising approach to improve sample efficiency and generalization by training agents across multiple tasks, enabling knowledge sh…