Tai Hoang

According to our database, Tai Hoang authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Smooth Sampling-Based Model Predictive Control Using Deterministic Samples.

Markus Walker, Marcel Reith-Braun, Tai Hoang, Gerhard Neumann, Uwe D. Hanebeck

CoRR, January, 2026

Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning.

Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann

Trans. Mach. Learn. Res., 2026

2025

Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics.

Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann

CoRR, November, 2025

MaNGO - Adaptable Graph Network Simulators via Meta-Learning.

Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann

CoRR, October, 2025

Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation.

Huy Le, Tai Hoang, Miroslav Gabriel, Gerhard Neumann, Ngo Anh Vien

IEEE Robotics Autom. Lett., June, 2025

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction.

Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann

CoRR, May, 2025

Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects.

Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Latent Task-Specific Graph Network Simulators.

Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann

CoRR, 2023

2022

Autonomous soft hand grasping - Literature review.

Tai Hoang

CoRR, 2022

Ball-and-Socket Joint Pose Estimation Using Magnetic Field.

Tai Hoang, Alona Kharchenko, Simon Trendel, Rafael Hostettler

Proceedings of the Robotics Research, 2022

2020

Bayes-Adaptive Deep Model-Based Policy Optimisation.

Tai Hoang, Ngo Anh Vien

CoRR, 2020

Graph-Based Motion Planning Networks.

Tai Hoang, Ngo Anh Vien

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Towards Autoencoding Variational Inference for Aspect-Based Opinion Summary.

Tai Hoang, Huy Le, Tho Quan

Appl. Artif. Intell., 2019