Project publications will be listed here.
2020
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Rottmann, N; Pandya, H; Bruder, R; Neumann, G; Schweikard, A; Rueckert, E Learning Hierarchical Acquisition Functions for Bayesian Optimization Inproceedings International Conference on Intelligent Robots and Systems (IROS 2020), pp. 1–8, 2020. Links | BibTeX | Tags: Reinforcement Learning, University of Luebeck @inproceedings{Rottmann2020,
title = {Learning Hierarchical Acquisition Functions for Bayesian Optimization},
author = {N. Rottmann and H. Pandya and R. Bruder and G. Neumann and A. Schweikard and E. Rueckert},
url = {https://rob.ai-lab.science/wp/IROS2020Rottmann.pdf, Article File},
year = {2020},
date = {2020-10-26},
booktitle = {International Conference on Intelligent Robots and Systems (IROS 2020)},
pages = {1--8},
keywords = {Reinforcement Learning, University of Luebeck},
pubstate = {published},
tppubtype = {inproceedings}
}
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Xue, H; Boettger, S; Rottmann, N; Pandya, H; Bruder, R; Neumann, G; Schweikard, A; Rueckert, E Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks Inproceedings International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020), 2020. Links | BibTeX | Tags: Manipulation, Reinforcement Learning, University of Luebeck @inproceedings{Xue2020,
title = {Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks},
author = {H. Xue and S. Boettger and N. Rottmann and H. Pandya and R. Bruder and G. Neumann and A. Schweikard and E. Rueckert},
url = {https://ai-lab.science/wp/ASPAI2020Xue.pdf, Article File},
year = {2020},
date = {2020-06-30},
booktitle = {International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020)},
keywords = {Manipulation, Reinforcement Learning, University of Luebeck},
pubstate = {published},
tppubtype = {inproceedings}
}
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