2 papers
cs.LG2025
KoopCast: Trajectory Forecasting via Koopman Operators
Jungjin Lee, Jaeuk Shin, Gihwan Kim +2
We present KoopCast, a lightweight yet efficient model for trajectory forecasting in general dynamic environments. Our approach leverages Koopman operator theory, which enables a l…
cs.LG2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR
Jaeuk Shin, Giho Kim, Howon Lee +2
Designing a competent meta-reinforcement learning (meta-RL) algorithm in terms of data usage remains a central challenge to be tackled for its successful real-world applications. I…