1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.NE2023
Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments
Hyunsu Lee
Based on the predictive map theory of spatial learning in animals, this study delves into the dynamics of Successor Feature (SF) and Predecessor Feature (PF) algorithms within nois…
cs.LG2022★ 1 cited
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
Hyun-Suk Lee
Dynamic scheduling is an important problem in applications from queuing to wireless networks. It addresses how to choose an item among multiple scheduling items in each timestep to…
cs.IR2021
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
Honguk Woo, Hyunsung Lee, Sangwoo Cho
Recently, deep reinforcement learning (RL) has proven its feasibility in solving combinatorial optimization problems (COPs). The learning-to-rank techniques have been studied in th…