21 citations · 38 across the 7 of their papers we have counts for
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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…
cs.LG2020★ 15 cited
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
Jeongho Kim, Jaeuk Shin, Insoon Yang
In this paper, we propose Q-learning algorithms for continuous-time deterministic optimal control problems with Lipschitz continuous controls. Our method is based on a new class of…