4 papers
Escaping Path Mirages in Offline Goal-Conditioned Reinforcement Learning
Junhyeon Bae, Jaebak Hwang, Gwanwoo Choi +2
Offline goal-conditioned reinforcement learning remains challenging in stochastic long-horizon settings, where compounding value estimation errors hinder reliable goal reaching. Wh…
Generative Support Realignment for Cross-Domain Offline Reinforcement Learning
Minung Kim, Jeongmo Kim, Gwanwoo Choi +1
Cross-domain offline reinforcement learning learns a target policy from pre-collected source and target datasets with different dynamics. When target data are scarce, effectively c…
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…
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…