3 papers
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…
cs.CV2025
Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations
Minung Kim, Kawon Lee, Jungmo Kim +2
Imitation learning (IL) enables agents to mimic expert behavior without reward signals but faces challenges in cross-domain scenarios with high-dimensional, noisy, and incomplete v…