TTGO: Tensor Train for Global Optimization
Description
Toolbox to solve global optimization problems in a data-efficient manner
Publications
Shetty, S., Lembono, T., Löw, T. and Calinon, S. (2022). Tensor Train for Global Optimization Problems in Robotics.
Links
- Repository: https://github.com/idiap/ttgo
Advantages
- It provides a ubiquitous tool for optimization.
- It can cope with a mix of continuous and discrete variables for optimization.
- It allows the distribution of computation into offline and online phases.
- It can be easily be extended to various forms of human-guided learning.
Applications
- Global optimization
- Robotics
Contact us for more information
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