Commit 5b51349e authored by JB Mouret's avatar JB Mouret Committed by GitHub
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Update Readme.md to point to the arxiv paper

parent 0fb13c04
......@@ -8,6 +8,24 @@ Documentation & Versions
The development branch is the [master](https://github.com/resibots/limbo/tree/master) branch. For the latest stable release, check the [release-1.0](https://github.com/resibots/limbo/tree/release-1.0) branch.
Documentation is available at: http://www.resibots.eu/limbo
A short paper that introduces the library is available on arxiv: https://arxiv.org/abs/1611.07343
Citing Limbo
------------
If you use Limbo in a scientific paper, please cite:
Cully, A., Chatzilygeroudis, K., Allocati, F., and Mouret J.-B., (2016). [Limbo: A Fast and Flexible Library for Bayesian Optimization](https://arxiv.org/abs/1611.07343). *arXiv preprint arXiv:1611.07343*.
In BibTex:
@article{cully_limbo_2016,
title={Limbo: A Fast and Flexible Library for Bayesian Optimization},
author={Cully, A. and Chatzilygeroudis, K. and Allocati, F. and Mouret, J.-B.},
year={2016},
journal={arXiv preprint},
pages={arxiv:1611.07343}
}
Authors
------
- Antoine Cully (Imperial College): http://www.antoinecully.com
......@@ -22,6 +40,7 @@ Other contributors
Limbo is partly funded by the ResiBots ERC Project (http://www.resibots.eu).
Main features
-------------
- Implementation of the classic algorithms (Bayesian optimization, many kernels, likelihood maximization, etc.)
......@@ -34,9 +53,9 @@ Main features
Scientific articles that use Limbo
--------------------------------
- Cully, A., Clune, J., Tarapore, D., & Mouret, J. B. (2015). [Robots that can adapt like animals](http://www.nature.com/nature/journal/v521/n7553/full/nature14422.html). *Nature*, 521(7553), 503-507.
- Tarapore D, Clune J, Cully A, Mouret JB (2016). [How Do Different Encodings Influence the Performance of the MAP-Elites Algorithm?](https://hal.inria.fr/hal-01302658/document). In Proc. of Genetic and Evolutionary Computation Conference 2016 Jul.
- Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.B. (2016). [Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery](https://arxiv.org/abs/1610.04213). arXiv preprint arXiv:1610.04213.
- Chatzilygeroudis, K., Cully, A. and Mouret, J.B. (2016). [Towards semi-episodic learning for robot damage recovery](https://arxiv.org/abs/1610.01407). Workshop on AI for Long-Term Autonomy at the IEEE International Conference on Robotics and Automation 2016.
- Tarapore D, Clune J, Cully A, Mouret JB (2016). [How Do Different Encodings Influence the Performance of the MAP-Elites Algorithm?](https://hal.inria.fr/hal-01302658/document). *In Proc. of Genetic and Evolutionary Computation Conference*.
- Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.B. (2016). [Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery](https://arxiv.org/abs/1610.04213). *arXiv preprint arXiv:1610.04213*.
- Chatzilygeroudis, K., Cully, A. and Mouret, J.B. (2016). [Towards semi-episodic learning for robot damage recovery](https://arxiv.org/abs/1610.01407). *Workshop on AI for Long-Term Autonomy at the IEEE International Conference on Robotics and Automation 2016*.
Research projects that use Limbo
--------------------------------
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