Nguyen, Duc Thien

13 publications

NeurIPSW 2023 Fast Temporal Wavelet Graph Neural Networks Duc Thien Nguyen, Tuan Nguyen, Truong Son Hy, Risi Kondor

NeurIPSW 2023 Fast Temporal Wavelet Graph Neural Networks Duc Thien Nguyen, Tuan Nguyen, Truong Son Hy, Risi Kondor

UAI 2022 Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen

JAIR 2019 Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan

IJCAI 2019 Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization Under Uncertainty Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau

AAAI 2019 Multiagent Decision Making for Maritime Traffic Management Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

NeurIPS 2018 Credit Assignment for Collective Multiagent RL with Global Rewards Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

AAAI 2017 Collective Multiagent Sequential Decision Making Under Uncertainty Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

NeurIPS 2017 Policy Gradient with Value Function Approximation for Collective Multiagent Planning Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

AISTATS 2016 Approximate Inference Using DC Programming for Collective Graphical Models Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon

AAAI 2014 A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints T. K. Satish Kumar, Duc Thien Nguyen, William Yeoh, Sven Koenig

AAAI 2014 Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang

UAI 2012 Dynamic Stochastic Orienteering Problems for Risk-Aware Applications Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen