Tae Hoon Oh - researchr alias

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Viewing Publication 1 - 6 from 6

2024

Model-based safe reinforcement learning for nonlinear systems under uncertainty with constraints tightening approachYeonsoo Kim, Tae Hoon Oh. cce, 183:108601, 2024. [doi]

Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processesTae Hoon Oh. cce, 181:108558, February 2024. [doi]

2022

Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimizationJong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Jong Min Lee 0002. cce, 167:108004, 2022. [doi]

2021

Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactorJong Woo Kim, Byung-Jun Park, Tae Hoon Oh, Jong Min Lee 0002. cce, 154:107465, 2021. [doi]

Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequencesSang Hwan Son, Byung-Jun Park, Tae Hoon Oh, Jong Woo Kim, Jong-Min Lee. ijcon, 94(11):3213-3225, 2021. [doi]

2020

Convergence analysis of the deep neural networks based globalized dual heuristic programmingJong Woo Kim, Tae Hoon Oh, Sang Hwan Son, Dong Hwi Jeong, Jong-Min Lee. automatica, 122:109222, 2020. [doi]

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