dr. N. Botteghi (Nicolò)

Botteghi, N. , Califano, F. , Poel, M. , & Brune, C. (2023). Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models.

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, 44(6), 3052-3079. https://doi.org/10.1002/oca.3025

Wotte, Y. , Dummer, S. , Botteghi, N. , Brune, C. , Stramigioli, S. , & Califano, F. (2022). Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. ArXiv.org. https://doi.org/10.48550/arXiv.2212.14253

Botteghi, N. , Poel, M. , & Brune, C. (2022). Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. (pp. 1). ArXiv.org. https://doi.org/10.48550/arXiv.2208.14226

Botteghi, N. , Guo, M. , & Brune, C. (2022). Deep kernel learning of dynamical models from high-dimensional noisy data. Scientific reports, 12, 21530. Article 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. , Poel, M. , Sirmacek, B. , & Brune, C. (2021). Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. ArXiv.org.

Postmes, J. , Botteghi, N. , Sirmacek, B. , & Kamilaris, A. (2021). A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture. In IoT '21: Proceedings of the 11th International Conference on the Internet of Things (pp. 158-164). Association for Computing Machinery. https://doi.org/10.1145/3494322.3494352

Botteghi, N., Grefte, L. , Poel, M. , Sirmacek, B. , Brune, C. , Dertien, E. , & Stramigioli, S. (2021). Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning.

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