45 citations · 54 across the 6 of their papers we have counts for
Showing 2021Show all
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cs.LG2021★ 2 cited
Control of a fly-mimicking flyer in complex flow using deep reinforcement learning
Seungpyo Hong, Sejin Kim, Donghyun You
An integrated framework of computational fluid-structural dynamics (CFD-CSD) and deep reinforcement learning (deep-RL) is developed for control of a fly-scale flexible-winged flyer…
cs.LG2021★ 45 cited
Multi-condition multi-objective optimization using deep reinforcement learning
Sejin Kim, Innyoung Kim, Donghyun You
A multi-condition multi-objective optimization method that can find Pareto front over a defined condition space is developed for the first time using deep reinforcement learning. U…
cs.LG2021★ 1 cited
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
Michal Kazmierski, Mattea Welch, Sejin Kim +12
Accurate prognosis for an individual patient is a key component of precision oncology. Recent advances in machine learning have enabled the development of models using a wider rang…