Tai Hoang

PhD Student in Machine Learning and Robotics at Karlsruhe Institute of Technology.

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4th Floor InformatiKOM 1.

Adenauerring 12, Karlsruhe

I’m a PhD student at the Autonomous Learning Robot (ALR) group at KIT, advised by Prof. Gerhard Neumann. Previously, I was a research assistant at the Volkswagen Machine Learning Research Lab, working with Dr. Maximilian Karl and Prof. Patrick van der Smagt on world models and model-based reinforcement learning. I hold an M.Sc. from TU Munich and a B.Sc. from the University of Information Technology, Vietnam.

Research Areas

My research interest includes:

  • Graph Neural Networks
  • Physical Modelling
  • Reinforcement Learning
  • Deformable Object Manipulation
  • World Models

See my publications for papers and preprints.

Selected publications

(* denotes equal contribution)
  1. ICLR EurIPS 25 Workshop
    Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
    Tai Hoang, Alessandro Trenta*, Alessio Gravina*, and 4 more authors
    The Fourteenth International Conference on Learning Representations, 2026
  2. NeurIPS
    MaNGO — Adaptable Graph Network Simulators via Meta-Learning
    Philipp Dahlinger, Tai Hoang, Denis Blessing, and 2 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  3. ICLR Oral
    Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
    Tai Hoang, Huy Le, Philipp Becker, and 2 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
    Oral Presentation [Top 1.8%]
  4. RA-L
    Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation
    Huy Le, Tai Hoang, Miroslav Gabriel, and 2 more authors
    IEEE Robotics and Automation Letters, 2025
  5. M.Sc. Thesis
    Curriculum Learning for Transferable Deep-State Space Models
    Tai Hoang
    Technical University of Munich, 2023
  6. ECML PKDD
    Graph-Based Motion Planning Networks
    Tai Hoang and Ngo Anh Vien
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2021