Unverified Commit cc39041d authored by Konstantinos Chatzilygeroudis's avatar Konstantinos Chatzilygeroudis Committed by GitHub
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Update publications list [ci skip]

parent 73fa8f7a
......@@ -53,13 +53,14 @@ Main features
- Purposely small to be easily maintained and quickly understood
Scientific articles that use Limbo
- Chatzilygeroudis, K., Vassiliades, V. and Mouret, J.-B. (2017). [Reset-free Trial-and-Error Learning for Robot Damage Recovery](https://arxiv.org/abs/1610.04213). *Robotics and Autonomous Systems*.
- Karban P., Pánek D., Mach F. and Doležel, I. (2017). [Calibration of numerical models based on advanced optimization and penalization techniques](https://www.degruyter.com/downloadpdf/j/jee.2017.68.issue-5/jee-2017-0073/jee-2017-0073.pdf). *Journal of Electrical Engineering, 68(5), 396-400*.
- Chatzilygeroudis K., Rama R., Kaushik, R., Goepp, D., Vassiliades, V. and Mouret, J.-B. (2017). [Black-Box Data-efficient Policy Search for Robotics](https://arxiv.org/abs/1703.07261). *Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)*.
- Tarapore, D., Clune, J., Cully, A., and Mouret, J.-B. (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*.
- Cully, A., Clune, J., Tarapore, D., and 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.
- Pautrat, R., Chatzilygeroudis, K., & Mouret, J.-B. (2017). [Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search](https://arxiv.org/pdf/1709.06919). arXiv preprint arXiv:1709.06919.
- Chatzilygeroudis, K., & Mouret, J. B. (2017). [Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics](https://arxiv.org/pdf/1709.06917). arXiv preprint arXiv:1709.06917.
- 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*.
- Papaspyros, V., Chatzilygeroudis, K., Vassiliades, V., and Mouret, J.-B. (2016). [Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors](https://arxiv.org/pdf/1611.09419v3). *Workshop on Bayesian Optimization at the Annual Conference on Neural Information Processing Systems (NIPS) 2016.*
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