Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. - Xin Huang 018; Sungkweon Hong; Andreas G. Hofmann; Brian C. Williams (ICAPS, 2019)

A Data-Driven Air Traffic Sequencing Model Based on Pairwise Preference Learning. - Soyeon Jung; Sungkweon Hong; Keumjin Lee (IEEE Trans. Intell. Transp. Syst., 2019)

QSRNet: Estimating Qualitative Spatial Representations from RGB-D Images. - Sang Uk Lee; Sungkweon Hong; Andreas G. Hofmann; Brian Williams 001 (IROS, 2020)

An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. - Sungkweon Hong; Sang Uk Lee; Xin Huang 018; Majid Khonji; Rashid Alyassi; Brian C. Williams (ICRA, 2021)

Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk. - Rashid Alyassi; Majid Khonji; Xin Huang 018; Sungkweon Hong; Jorge Dias 001 (SSRR, 2021)

Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation. - Sungkweon Hong; Brian C. Williams (CoRR, 2022)

Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. - Majid Khonji; Rashid Alyassi; Wolfgang Merkt; Areg Karapetyan; Xin Huang 018; Sungkweon Hong; Jorge Dias 001; Brian C. Williams (CoRR, 2022)

An anytime algorithm for constrained stochastic shortest path problems with deterministic policies. - Sungkweon Hong; Brian C. Williams (Artif. Intell., 2023)

Task-driven Risk-bounded Hierarchical Reinforcement Learning Based on Iterative Refinement. - Viraj Parimi; Sungkweon Hong; Brian Williams 001 (AAAI Spring Symposia, 2024)

Risk-Bounded Online Team Interventions via Theory of Mind. - Yuening Zhang; Paul Robertson 001; Tianmin Shu; Sungkweon Hong; Brian C. Williams (ICRA, 2024)