Duc Thien Nguyen

Orcid: 0009-0009-7485-7852

According to our database1, Duc Thien Nguyen authored at least 25 papers between 2012 and 2024.

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Bibliography

2024
Multilinear Kernel Regression and Imputation via Manifold Learning.
CoRR, 2024

2023
Multi-Linear Kernel Regression and Imputation in Data Manifolds.
CoRR, 2023

Fast Temporal Wavelet Graph Neural Networks.
CoRR, 2023

2022
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Probabilistic Inference for Learning from Untrusted Sources.
CoRR, 2021

2020
Variational Bayesian Inference for Crowdsourcing Predictions.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm.
J. Artif. Intell. Res., 2019

Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multiagent Decision Making For Maritime Traffic Management.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Credit Assignment For Collective Multiagent RL With Global Rewards.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Policy Gradient With Value Function Approximation For Collective Multiagent Planning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Collective Multiagent Sequential Decision Making Under Uncertainty.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Robotic Teaching Assistance for the "Tower of Hanoi" Problem.
Int. J. Distance Educ. Technol., 2016

Approximate Inference Using DC Programming For Collective Graphical Models.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Decomposition techniques for urban consolidation problems.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection.
Proceedings of the Learning and Intelligent Optimization, 2014

Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An auction mechanism for the last-mile deliveries via urban consolidation centre.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Stochastic dominance in stochastic DCOPs for risk-sensitive applications.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012


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