Hung The Tran

According to our database, Hung The Tran authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning.

Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta

CoRR, July, 2025

Hybrid Cross-domain Robust Reinforcement Learning.

Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta

CoRR, May, 2025

Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks.

Dat Phan-Trong, Hung The Tran, Sunil Gupta

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

High Dimensional Bayesian Optimization using Lasso Variable Selection.

Vu Viet Hoang, Hung The Tran, Sunil Gupta, Vu Nguyen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

PINN-BO: A Black-Box Optimization Algorithm Using Physics-Informed Neural Networks.

Dat Phan-Trong, Hung The Tran, Alistair Shilton, Sunil Gupta

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Policy Learning for Off-Dynamics RL with Deficient Support.

Linh Le Pham Van, Hung The Tran, Sunil Gupta

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Uniform sampling of simple graphs with prescribed degrees and experimental algorithms for external memory.

Hung The Tran

PhD thesis, 2023