3 papers
cs.LG2026
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim +1
Long-horizon goal-conditioned tasks pose fundamental challenges for reinforcement learning (RL), particularly when goals are distant and rewards are sparse. While hierarchical and…
cs.LG2026
Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning
Minung Kim, Jeongmo Kim, Gwanwoo Choi +1
Cross-domain offline reinforcement learning aims to adapt a policy from a source domain to a target domain using only pre-collected datasets, where environment dynamics may differ.…
cs.LG2025
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
Jeongmo Kim, Yisak Park, Minung Kim +1
Meta reinforcement learning aims to develop policies that generalize to unseen tasks sampled from a task distribution. While context-based meta-RL methods improve task representati…