Hyeok-Joo Chae

Orcid: 0000-0002-3028-0010

According to our database1, Hyeok-Joo Chae authored at least 12 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021
Domain-Abstraction-Based Approach for Learning Multidomain Planning.
J. Aerosp. Inf. Syst., November, 2021

A diffusion wavelets-based multiscale framework for inverse optimal control of stochastic systems.
Int. J. Syst. Sci., 2021

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2018
A Stochastic Game-Based Approach for Multiple Beyond-Visual-Range Air Combat.
Unmanned Syst., 2018

Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models.
IEEE Robotics Autom. Lett., 2018

Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems.
CoRR, 2018

Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adaptive Path-Integral Approach for Representation Learning and Planning.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
High-dimensional Motion Planning using Latent Variable Models via Approximate Inference.
CoRR, 2017

2016
Optimal Control-Based UAV Path Planning with Dynamically-Constrained TSP with Neighborhoods.
CoRR, 2016

2015
A stochastic game-theoretic approach for analysis of multiple cooperative air combat.
Proceedings of the American Control Conference, 2015


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