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Nicolò Botteghi
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2020 – today
- 2024
- [c5]Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat:
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. AAMAS 2024: 1664-1672 - [i16]Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar
, Aske Plaat:
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. CoRR abs/2401.16974 (2024) - [i15]Nicolò Botteghi, Urban Fasel:
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies. CoRR abs/2403.15267 (2024) - [i14]Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo:
Recurrent Deep Kernel Learning of Dynamical Systems. CoRR abs/2405.19785 (2024) - [i13]Nicolò Botteghi, Urban Fasel:
Sparsifying Parametric Models with L0 Regularization. CoRR abs/2409.03489 (2024) - [i12]Bishoy Gerges, Barbara Bazzana, Nicolò Botteghi, Youssef Aboudorra, Antonio Franchi:
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion. CoRR abs/2409.13337 (2024) - 2023
- [i11]Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune:
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR abs/2306.15512 (2023) - 2022
- [i10]Nicolò Botteghi, Mengwu Guo, Christoph Brune:
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR abs/2208.12975 (2022) - [i9]Nicolò Botteghi, Mannes Poel, Christoph Brune
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. CoRR abs/2208.14226 (2022) - [i8]Yannik P. Wotte, Sven Dummer
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR abs/2212.14253 (2022) - 2021
- [c4]Jochem Postmes, Nicolò Botteghi, Beril Sirmaçek, Andreas Kamilaris
A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture. IOT 2021: 158-164 - [c3]Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. IROS 2021: 190-197 - [c2]Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA 2021: 259-271 - [i7]Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. CoRR abs/2107.01667 (2021) - [i6]Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR abs/2107.01677 (2021) - [i5]Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR abs/2107.03685 (2021) - 2020
- [j1]Andreas Kamilaris
The penetration of Internet of Things in robotics: Towards a web of robotic things. J. Ambient Intell. Smart Environ. 12(6): 491-512 (2020) - [c1]Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR 2020: 3736-3743 - [i4]Andreas Kamilaris, Nicolò Botteghi:
The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things. CoRR abs/2001.05514 (2020) - [i3]Nicolò Botteghi, Beril Sirmaçek, Khaled A. A. Mustafa, Mannes Poel, Stefano Stramigioli:
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach. CoRR abs/2002.04109 (2020) - [i2]Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR abs/2007.16044 (2020)
2010 – 2019
- 2019
- [i1]Beril Sirmaçek, Nicolò Botteghi, Santiago Sanchez-Escalonilla Plaza:
Sequential image processing methods for improving semantic video segmentation algorithms. CoRR abs/1910.13348 (2019)
Coauthor Index
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