Huy T. Tran

According to our database, Huy T. Tran authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On Generating Explanations for Reinforcement Learning Policies: An Empirical Study.

Mikihisa Yuasa, Huy T. Tran, Ramavarapu S. Sreenivas

CoRR, 2023

2022

A Complex Network Framework for Validated Assessments of Systems of Systems Robustness.

Aleksandra Markina-Khusid, Ryan B. Jacobs, Laura Antul, Lance Cho, Huy T. Tran

IEEE Syst. J., 2022

WayFAST: Navigation With Predictive Traversability in the Field.

Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Yixiao Liu, Andres E. Baquero Velasquez, Vitor A. H. Higuti, John G. Rogers, Huy T. Tran, Girish Chowdhary

IEEE Robotics Autom. Lett., 2022

WayFAST: Traversability Predictive Navigation for Field Robots.

Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Yixiao Liu, Andres Eduardo Baquero Velasquez, Vitor Akihiro Hisano Higuti, John G. Rogers, Huy T. Tran, Girish Chowdhary

CoRR, 2022

D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks.

Walker L. Dimon, Nicholas B. Chase, Neale Van Stralen, Rupal Nigam, Michael F. Lembeck, Huy T. Tran

Proceedings of the International Joint Conference on Neural Networks, 2022

Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning.

Seung Hyun Kim, Neale Van Stralen, Girish Chowdhary, Huy T. Tran

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Operational Perspectives Into the Resilience of the U.S. Air Transportation Network Against Intelligent Attacks.

Karl H. Thompson, Huy T. Tran

IEEE Trans. Intell. Transp. Syst., 2020

Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks.

Jacob S. W. Heglund, Panukorn Taleongpong, Simon Hu, Huy T. Tran

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning.

Neale Van Stolen, Seung Hyun Kim, Huy T. Tran, Girish Chowdhary

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Parametric Design of Resilient Complex Networked Systems.

Huy T. Tran, Jean Charles Domercant, Dimitri N. Mavris

IEEE Syst. J., 2019

2018

Data-driven resilience quantification of the US Air transportation network.

Keshav Ram Chandramouleeswaran, Huy T. Tran

Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

2017

A framework for the quantitative assessment of performance-based system resilience.

Huy T. Tran, Michael Balchanos, Jean Charles Domercant, Dimitri N. Mavris

Reliab. Eng. Syst. Saf., 2017

Designing resilient system-of-systems networks.

Huy T. Tran, Jean Charles Domercant, Dimitri N. Mavris

Proceedings of the 2017 Annual IEEE International Systems Conference, 2017

2016

A complex networks approach to designing resilient system-of-systems.

Huy T. Tran

PhD thesis, 2016