In-Beom Park

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Temporal Difference

Reinforcement Learning

Semiconductor Manufacturing

Top Venues

IEEE Trans. Cybern.

IEEE Trans Autom. Sci. Eng.

Appl. Soft Comput.

Publications

Donghun Lee, In-Beom Park, Kwanho Kim
An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions. Appl. Soft Comput. 164 (2024)
In-Beom Park, Jaeseok Huh, Jonghun Park
A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning. IEEE Access 11 (2023)
In-Beom Park, Jonghun Park
Scalable Scheduling of Semiconductor Packaging Facilities Using Deep Reinforcement Learning. IEEE Trans. Cybern. 53 (6) (2023)
Bohyung Paeng, In-Beom Park, Jonghun Park
Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups. IEEE Access 9 (2021)
In-Beom Park, Jaeseok Huh, Joongkyun Kim, Jonghun Park
A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities. IEEE Trans Autom. Sci. Eng. 17 (3) (2020)