Tae Hoon Oh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Markov Decision Problems

Convergence Analysis

Dynamic Programming

Predictive Control

Top Venues

Comput. Chem. Eng.

Int. J. Control

Publications

Yeonsoo Kim, Tae Hoon Oh
Model-based safe reinforcement learning for nonlinear systems under uncertainty with constraints tightening approach. Comput. Chem. Eng. 183 (2024)
Tae Hoon Oh
Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processes. Comput. Chem. Eng. 181 (2024)
Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Jong Min Lee
Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization. Comput. Chem. Eng. 167 (2022)
Jong Woo Kim, Byung Jun Park, Tae Hoon Oh, Jong Min Lee
Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor. Comput. Chem. Eng. 154 (2021)
Sang Hwan Son, Byung Jun Park, Tae Hoon Oh, Jong Woo Kim, Jong Min Lee
Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences. Int. J. Control 94 (11) (2021)
Jong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Dong Hwi Jeong, Jong Min Lee
Convergence analysis of the deep neural networks based globalized dual heuristic programming. Autom. 122 (2020)
Sang Hwan Son, Jong Woo Kim, Tae Hoon Oh, Jong Min Lee
Model-plant mismatch learning offset-free model predictive control. CoRR (2020)