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Title: Tai Hoang

Open Graph Title: Tai Hoang | about

X Title: about

Description: PhD student at KIT working on graph neural modeling for deformable object manipulation — physics-informed graph neural simulators (IGNS, ICLR 2026) and geometry-aware reinforcement learning (HEPi, ICLR 2025 Oral).

Open Graph Description: PhD student at KIT working on graph neural modeling for deformable object manipulation — physics-informed graph neural simulators (IGNS, ICLR 2026) and geometry-aware reinforcement learning (HEPi, ICLR 2025 Oral).

X Description: PhD student at KIT working on graph neural modeling for deformable object manipulation — physics-informed graph neural simulators (IGNS, ICLR 2026) and geometry-aware reinforcement learning (HEPi, ICLR 2025 Oral).

Keywords:

• machine learning
• robotics
• graph neural networks
• graph neural simulators
• Hamiltonian dynamics
• equivariant policies
• reinforcement learning
• physical modelling
• deformable object manipulation
• IGNS
• HEPi
• PhD research
• KIT

Mail addresses
tai.hoang@kit.edu

Opengraph URL: https://thobotics.github.io/

direct link

Domain: thobotics.github.io

    {
        "author":
        {
            "@type": "Person",
            "name": "Tai Hoang"
        },
        "url": "https://thobotics.github.io/",
        "@type": "WebSite",
        "description": "PhD student at KIT working on graph neural modeling for deformable object manipulation — physics-informed graph neural simulators (IGNS, ICLR 2026) and geometry-aware reinforcement learning (HEPi, ICLR 2025 Oral).",
        "headline": "about",
        
        "sameAs": ["https://github.com/thobotics","https://www.linkedin.com/in/thobotics","https://scholar.google.com/citations?user=_jAx5dsAAAAJ"],
        
        "name": "Tai Hoang",
        "@context": "https://schema.org"
    }
  

Links:

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