Tung Nguyen

Universität Trier — Germany

Computer Science · Physical Sciences

7h-index176citations33works2.02yr avg
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Research Topics

Reinforcement Learning in Robotics(8), Distributed Control Multi-Agent Systems(5), Robotic Path Planning Algorithms(5), Explainable Artificial Intelligence (XAI)(4), Neural Networks and Applications(3)

Publications33 total

Shortest-Path-Based Resilience Analysis of Urban Road Networks
Lecture notes in logistics·2024· 2 cited
Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding
2023
Distributed formation trajectory planning for multi-vehicle systems
2023· 9 cited
Coupling ATR-FTIR spectroscopy with multivariate analysis for polymers manufacturing and control of polymers’ molecular weight
Digital Chemical Engineering·2023· 4 citedOpen Access
A Machine Learning Framework for Predicting the Glass Transition Temperature of Homopolymers
Industrial & Engineering Chemistry Research·2022· 33 cited
Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance
arXiv (Cornell University)·2022· 1 citedOpen Access
Characterization of Indicators for Adaptive Human-Swarm Teaming
Frontiers in Robotics and AI·2022· 15 citedOpen Access
The Effects of Terrorism on Acquisitions and Innovation and the Impact of CSR on Performance During Traumatic Events
2021· 3 cited
Temporal Predictive Coding For Model-Based Planning In Latent Space
arXiv (Cornell University)·2021· 5 citedOpen Access
Non-Markovian Predictive Coding For Planning In Latent Space
2021
Predictive Coding for Locally-Linear Control
International Conference on Machine Learning·2020· 3 cited
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding
2020· 6 cited
Q-Learning with Differential Entropy of Q-Tables
arXiv (Cornell University)·2020Open Access
An Exact Transformation from Deep Neural Networks to Multi-Class Multivariate Decision Trees
arXiv (Cornell University)·2020· 2 citedOpen Access
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees.
2020· 7 cited
Predictive Coding for Locally-Linear Control
arXiv (Cornell University)·2020· 4 citedOpen Access
An Interactive Indoor Drone Assistant
2019· 1 citedOpen Access
A Hierarchical Deep Deterministic Policy Gradients for Swarm Navigation
2019· 1 cited
Study, Design and Implementation of 3D Printer
Theseus (Ammattikorkeakoulujen)·2019Open Access
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms
Lecture notes in computer science·2019· 25 cited
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Frequent Co-authors

Hussein A. Abbass(11), Kathryn Kasmarik(8), Matthew Garratt(4), Hung T. Nguyen(4), Rui Shu(4), Tuan Anh Pham(4), Hung Bui(4), Stefano Ermon(4), Sreenatha G. Anavatti(3), Mahmood Momenzadeh(3), Mona Bavarian(2), Hung Nguyen(2), Michael Barlow(2), Aya Hussein(2), Leo Ghignone(2), Nima Salimi(2), Min Wang(2), Yinlam Chow(2), Khoat Than(2), Mohammad Ghavamzadeh(2)