A stochastic game-theoretic approach for analysis of multiple cooperative air combat. - Jung-Su Ha; Hyeok-Joo Chae; Han-Lim Choi (ACC, 2015)

Optimal Control-Based UAV Path Planning with Dynamically-Constrained TSP with Neighborhoods. - Dae-Sung Jang; Hyeok-Joo Chae; Han-Lim Choi (CoRR, 2016)

High-dimensional Motion Planning using Latent Variable Models via Approximate Inference. - Jung-Su Ha; Hyeok-Joo Chae; Han-Lim Choi (CoRR, 2017)

Adaptive Path-Integral Approach for Representation Learning and Planning. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (ICLR (Workshop), 2018)

Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (NeurIPS, 2018)

Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (CoRR, 2018)

Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models. - Jung-Su Ha; Hyeok-Joo Chae; Han-Lim Choi (IEEE Robotics Autom. Lett., 2018)

A Stochastic Game-Based Approach for Multiple Beyond-Visual-Range Air Combat. - Jung-Su Ha; Hyeok-Joo Chae; Han-Lim Choi (Unmanned Syst., 2018)

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (ICRA, 2021)

A diffusion wavelets-based multiscale framework for inverse optimal control of stochastic systems. - Jung-Su Ha; Hyeok-Joo Chae; Han-Lim Choi (Int. J. Syst. Sci., 2021)

Domain-Abstraction-Based Approach for Learning Multidomain Planning. - Hyeok-Joo Chae; Han-Lim Choi (J. Aerosp. Inf. Syst., 2021)

DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory. - Juyeop Han; Youngjae Min; Hyeok-Joo Chae; Byeong-Min Jeong; Han-Lim Choi (ICRA, 2023)