Jaeuk Shin

According to our database, Jaeuk Shin authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

KoopCast: Trajectory Forecasting via Koopman Operators.

Jungjin Lee, Jaeuk Shin, Gihwan Kim, Joonho Han, Insoon Yang

CoRR, September, 2025

Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments.

Jaeuk Shin, Jungjin Lee, Insoon Yang

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Control of Fab Lifters via Deep Reinforcement Learning: A Semi-MDP Approach.

Giho Kim, Jaeuk Shin, Gihun Kim, Joonrak Kim, Insoon Yang

IEEE Trans Autom. Sci. Eng., October, 2024

Multiparametric Analysis of Multi-Task Markov Decision Processes: Structure, Invariance, and Reducibility.

Jaeuk Shin, Insoon Yang

IEEE Control. Syst. Lett., 2024

Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach.

Mingyu Park, Jaeuk Shin, Insoon Yang

Autom., 2024

On task-relevant loss functions in meta-reinforcement learning.

Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR.

Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang

CoRR, 2023

2022

Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments.

Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang

IEEE Robotics Autom. Lett., 2022

2021

Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls.

Jeongho Kim, Jaeuk Shin, Insoon Yang

J. Mach. Learn. Res., 2021