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Publicaties
Recent
Wotte, Y. P.
, Dummer, S.
, Botteghi, N.
, Brune, C.
, Stramigioli, S.
, & Califano, F. (2023).
Discovering efficient periodic behaviors in mechanical systems via neural approximators.
Optimal Control Applications and Methods, 1-28.
https://doi.org/10.1002/oca.3025
Botteghi, N.
, Guo, M.
, & Brune, C. (2022).
Deep kernel learning of dynamical models from high-dimensional noisy data.
Scientific reports,
12, 21530. [21530].
https://doi.org/10.1038/s41598-022-25362-4
Botteghi, N., Grefte, L.
, Poel, M.
, Sirmacek, B.
, Brune, C.
, Dertien, E.
, & Stramigioli, S. (2022).
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. In J. Kim, B. Englot, H-W. Park, H-L. Choi, H. Myung, J. Kim, & J-H. Kim (Eds.),
Robot Intelligence Technology and Applications 6 - Results from the 9th International Conference on Robot Intelligence Technology and Applications (pp. 259-271). (Lecture Notes in Networks and Systems; Vol. 429 LNNS). Springer.
https://doi.org/10.1007/978-3-030-97672-9_23
Botteghi, N.
, Sirmacek, B.
, Poel, M.
, Brune, C., & Schulte, R. (2021).
CURIOSITY-DRIVEN REINFORCEMENT LEARNING AGENT for MAPPING UNKNOWN INDOOR ENVIRONMENTS.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
5(1), 129-136.
https://doi.org/10.5194/isprs-annals-V-1-2021-129-2021
Botteghi, N., Alaa, K.
, Poel, M.
, Sirmaçek, B.
, Brune, C., Mersha, A.
, & Stramigioli, S. (2021).
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. In
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 (pp. 190-197). (IEEE International Conference on Intelligent Robots and Systems). IEEE.
https://doi.org/10.1109/IROS51168.2021.9635936
Botteghi, N. (2021).
Robotics deep reinforcement learning with loose prior knowledge. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036552165
Botteghi, N., Obbink, R., Geijs, D.
, Poel, M.
, Sirmacek, B.
, Brune, C., Mersha, A.
, & Stramigioli, S. (2021).
Low Dimensional State Representation Learning with Reward-shaped Priors. In
2020 25th International Conference on Pattern Recognition (ICPR) (pp. 3736-3743). [9412421]
https://doi.org/10.1109/ICPR48806.2021.9412421
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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 2067
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
2067
Postbus 217
7500 AE Enschede