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euclideanizing_flows

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Stable dynamical system (motion policy) learning using Euclideanizing flows

euclideanizing_flows 최신버젼 다운로드

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SDSEF: Stable Dynamical System Learning Using Euclideanizing Flows
===================================================
SDSEF is a dynamical system or policy learning approach with global asymptotic stability guarantees.
For details, checkout our [publication](https://arxiv.org/pdf/2005.13143.pdf) in L4DC 2020.

This library is an implementation of SDSEF in pytorch.

SDSEF is being developed by [Asif Rana](mailto:asif1253@gmail.com) and [Anqi Li](mailto:anqil4@cs.washington.edu).

Prerequisites
------
- python >= 2.7
- PyTorch >= 1.5.0
- numpy
- matplotlib
- scipy

Citing
-----

If you use SDSEF in an academic context, please cite the following publication:

```
[1]
@article{rana2020euclideanizing,
  title={Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems},
  author={Rana, Muhammad Asif and Li, Anqi and Fox, Dieter and Boots, Byron and Ramos, Fabio and Ratliff, Nathan},
  journal={2nd Conference on Learning from Dynamics and Control (L4DC)},
  year={2020}
}
```

Questions & Bug reporting
-----

Please use Github issue tracker to report bugs. For other questions, please contact [Asif Rana](mailto:asif1253@gmail.com) or [Anqi Li](mailto:anqil4@cs.washington.edu).

License
-----

SDSEF is released under the MIT license, reproduced in the file LICENSE in this directory.

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