Optimal Control Synthesis from Natural Language: Opportunities and Challenges

Christopher E. Mower1    Hongzhan Yu1    Antoine Grosnit1,3   
Jan Peters3    Jun Wang2    Haitham Bou-Ammar1

1Huawei Noah's Ark Lab, London, UK.

2University College London, London, UK.

3Technical University of Darmstadt, Darmstadt, Germany.

  
Paper Code(Coming Soon)
Embarking on the frontier of innovation, large language models pave the way for the seamless automatic generation of optimal controllers.

Framework

frameworkImage

BibTeX

@misc{mower24,
    author    = {Christopher E. Mower and Hongzhan Yu and Antoine Grosnit and Jan Peters and Jun Wang and Haitham Bou-Ammar},
    title     = {Optimal Control Synthesis from Natural Language: Oppurtunities and Challenges},
    year      = {2024},
}