3 papers
math.OC2025
Robust Continuous-Time Generation Scheduling under Power Demand Uncertainty: An Affine Decision Rule Approach
Youngchae Cho, Insoon Yang, Takayuki Ishizaki
Most existing generation scheduling models for power systems under demand uncertainty rely on energy-based formulations with a finite number of time periods, which may fail to ensu…
math.OC2024
Generalized Continuous-Time Models for Nesterov's Accelerated Gradient Methods
Chanwoong Park, Youngchae Cho, Insoon Yang
Recent research has indicated a substantial rise in interest in understanding Nesterov's accelerated gradient methods via their continuous-time models. However, most existing studi…
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…