Jaeuk Shin

According to our database, Jaeuk Shin authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

Jaeuk Shin, Insoon Yang

IEEE Control. Syst. Lett., 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

Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach.

Mingyu Park, Jaeuk Shin, Insoon Yang

CoRR, 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