3 papers
cs.LG2026
Delayed homomorphic reinforcement learning for environments with delayed feedback
Jongsoo Lee, Jangwon Kim, Soohee Han
Reinforcement learning in real-world systems often involves delayed feedback, which breaks the Markov assumption and impedes both learning and control. Canonical augmentation-based…
cs.RO2026
Benchmarking Visual Feature Representations for LiDAR-Inertial-Visual Odometry Under Challenging Conditions
Eunseon Choi, Junwoo Hong, Daehan Lee +9
Accurate localization in autonomous driving is critical for successful missions including environmental mapping and survivor searches. In visually challenging environments, includi…
cs.LG2026
Reinforcement Learning via Conservative Agent for Environments with Random Delays
Jongsoo Lee, Jangwon Kim, Jiseok Jeong +1
Real-world reinforcement learning applications are often hindered by delayed feedback from environments, which violates the Markov assumption and introduces significant challenges.…