Nicolò Botteghi

30 papers A 2B 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems. CoRR Nicolò Botteghi, Silke Glas, Christoph Brune
2026	J	`jnl`	Robust Co-design Optimisation for Agile Fixed-Wing UAVs. CoRR Adrian Andrei Buda, Xavier Chen, Nicolò Botteghi, Urban Fasel
2025	J	`jnl`	HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems. CoRR Nicolò Botteghi, Matteo Tomasetto, Urban Fasel, Francesco Braghin, Andrea Manzoni
2025	J	`jnl`	HypeRL: Parameter-Informed Reinforcement Learning for Parametric PDEs. CoRR Nicolò Botteghi, Stefania Fresca, Mengwu Guo, Andrea Manzoni
2025	J	`jnl`	Interconnection and Damping Assignment Passivity-Based Control using Sparse Neural ODEs. CoRR Nicolò Botteghi, Owen M. Brook, Urban Fasel, Federico Califano
2024	A	`conf`	CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. AAMAS Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
2024	J	`jnl`	CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. CoRR Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
2024	J	`jnl`	Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations. CoRR Michiel Nikken, Nicolò Botteghi, Wesley Roozing, Federico Califano
2024	J	`jnl`	Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems. CoRR Florian Wolf, Nicolò Botteghi, Urban Fasel, Andrea Manzoni
2024	J	`jnl`	Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion. CoRR Bishoy Gerges, Barbara Bazzana, Nicolò Botteghi, Youssef Aboudorra, Antonio Franchi
2024	J	`jnl`	Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies. CoRR Nicolò Botteghi, Urban Fasel
2024	—	`conf`	Parametric PDE Control with Deep Reinforcement Learning and L0 Sparse Polynomial Policies. CDC Nicolò Botteghi, Urban Fasel
2024	J	`jnl`	Recurrent Deep Kernel Learning of Dynamical Systems. CoRR Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo
2024	J	`jnl`	Sparsifying Parametric Models with L0 Regularization. CoRR Nicolò Botteghi, Urban Fasel
2023	J	`jnl`	Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune
2022	J	`jnl`	Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR Nicolò Botteghi, Mengwu Guo, Christoph Brune
2022	J	`jnl`	Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR Yannik P. Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano
2022	J	`jnl`	Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. CoRR Nicolò Botteghi, Mannes Poel, Christoph Brune
2021	—	`conf`	A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture. IOT Jochem Postmes, Nicolò Botteghi, Beril Sirmaçek, Andreas Kamilaris
2021	A	`conf`	Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. IROS Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2021	J	`jnl`	Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. CoRR Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2021	J	`jnl`	Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune
2021	—	`conf`	Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
2021	J	`jnl`	Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
2020	B	`conf`	Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2020	J	`jnl`	Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2020	J	`jnl`	On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach. CoRR Nicolò Botteghi, Beril Sirmaçek, Khaled A. A. Mustafa, Mannes Poel, Stefano Stramigioli
2020	J	`jnl`	The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things. CoRR Andreas Kamilaris, Nicolò Botteghi
2020	J	`jnl`	The penetration of Internet of Things in robotics: Towards a web of robotic things. J. Ambient Intell. Smart Environ. Andreas Kamilaris, Nicolò Botteghi
2019	J	`jnl`	Sequential image processing methods for improving semantic video segmentation algorithms. CoRR Beril Sirmaçek, Nicolò Botteghi, Santiago Sanchez-Escalonilla Plaza