2 papers
cs.LG2026
Learning Generalizable Skill Policy with Data-Efficient Unsupervised RL
Jongchan Park, Seungjun Oh, Seungho Baek +1
Unsupervised Reinforcement Learning (URL) aims to pre-train scalable, skill-conditioned policies without extrinsic rewards, serving as a foundation for downstream control tasks. De…
cs.LG2025
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
Seungho Baek, Taegeon Park, Jongchan Park +2
Existing offline hierarchical reinforcement learning methods rely on high-level policy learning to generate subgoal sequences. However, their efficiency degrades as task horizons i…