Sung-Hyun Son

Most-cited papers

1. Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning

   Andrew Silva, M. Gombolay, Taylor W. Killian, I. Jimenez +1 more

   2020International Conference on Artificial Intelligence and Statistics125 citations

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2. Apprenticeship Scheduling: Learning to Schedule from Human Experts

   M. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son +1 more

   2016International Joint Conference on Artificial Intelligence44 citations

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3. Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

   Andrew Silva, Taylor W. Killian, Ivan D. Jimenez Rodriguez, Sung-Hyun Son +1 more

   201937 citations

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4. Human-Machine Collaborative Optimization via Apprenticeship Scheduling

   M. Gombolay, Reed Jensen, Jessica Stigile, T. Golen +3 more

   2018Journal of Artificial Intelligence Research35 citations Open access

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5. Machine Learning Techniques for Analyzing Training Behavior in Serious Gaming

   M. Gombolay, Reed Jensen, Sung-Hyun Son

   2019IEEE Transactions on Games18 citations

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6. Interpretable Reinforcement Learning via Differentiable Decision Trees

   Ivan D. Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, M. Gombolay

   2019arXiv.org12 citations

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7. Safe Predictors for Enforcing Input-Output Specifications

   Stephen Mell, Olivia M. Brown, Justin A. Goodwin, Sung-Hyun Son

   2020arXiv.org6 citations

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8. Learning to Infer Final Plans in Human Team Planning

   Joseph Kim, M. Woicik, M. Gombolay, Sung-Hyun Son +1 more

   2018International Joint Conference on Artificial Intelligence6 citations Open access

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9. Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling

   M. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son +1 more

   2017AAAI Workshops5 citations

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10. Kernelized Capsule Networks

    Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son

    2019arXiv.org3 citations

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11. Learning Robust Representations for Automatic Target Recognition

    Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son

    2018arXiv.org1 citations

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12. Machine Learning for Education: Learning to Teach

    M. Gombolay, Reed Jensen, Sung-Hyun Son

    20161 citations

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13. JORLDY: a fully customizable open source framework for reinforcement learning

    Kyushik Min, Hyunho Lee, Kwansu Shin, Tae-woo Lee +3 more

    2022arXiv.org0 citations Open access

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14. Influence of Wall Conditioning State on AR Plasma Emission in a Processing Chamber

    Jaemin Song, Jongsik Kim, D. C. Kim, M. Song +5 more

    2020International Conference on Plasma Science0 citations

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