NB
Nicolò Botteghi
cs.LGcs.ROcs.AImath.OCstat.MLcs.CEcs.CVcs.CYcs.NAcs.SY
On Valency
published · living versionsW_u7fv394b·v1 · currentpublished
Reinforcement learning for control of partial differential equations
with Matteo Tomasetto, Andrea Manzoni
1 version
Preprints & journals
27 papers in the corpus · 2019–2026Spatio-temporal Latent Denoising Diffusion Probabilistic Models for Reduced-order Modeling of Parametrized Dynamical Systems2609.17768v1 · Michiel Nikken, Nicolo Botteghi, Federico Califano et al.2026 · 0 citationsarXiv
CAVEAT: Recurrent Multimodal Diffusion Planning for Mapless Aerial Exploration2609.06623v1 · Steven Visch, Nicolo Botteghi, Antonio Franchi et al.2026 · 0 citationsarXiv
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems2607.19628v1 · Nicolo Botteghi, Gabriele Pascali, Urban Fasel et al.2026 · 0 citationsarXiv
Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems2607.16177v1 · Matteo Tomasetto, Nicolo Botteghi, Gabriele Bruni et al.2026 · 0 citationsarXiv
Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning2607.13553v1 · Andrea Maria Braghin, Nicolo Botteghi, Matteo Tomasetto et al.2026 · 0 citationsarXiv
Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems2603.13496v2 · Nicolo Botteghi, Silke Glas, Christoph Brune2026 · 0 citationsarXiv
Robust Co-design Optimisation for Agile Fixed-Wing UAVs2603.11130v2 · Adrian Andrei Buda, Xavier Chen, Nicolo Botteghi et al.2026 · 0 citations2026 International Conference on Unmanned Aircraft Systems (ICUAS), Corfu, Greece, 2026, pp. 9-17
HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems2509.16709v1 · Nicolo Botteghi, Matteo Tomasetto, Urban Fasel et al.2025 · 0 citationsarXiv
HypeRL: Hypernetwork-Based Reinforcement Learning for Control of Parametrized Dynamical Systems2501.04538v2 · Nicolo Botteghi, Stefania Fresca, Mengwu Guo et al.2025 · 0 citationsarXiv
Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems2411.04098v1 · Florian Wolf, Nicolo Botteghi, Urban Fasel et al.2024 · 1 citationarXiv
Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations2410.21497v2 · Michiel Nikken, Nicolo Botteghi, Wesley Roozing et al.2024 · 0 citationsarXiv
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion2409.13337v3 · Bishoy Gerges, Barbara Bazzana, Nicolo Botteghi et al.2024 · 1 citation2025 International Conference on Unmanned Aircraft Systems (ICUAS)
Sparsifying Parametric Models with L0 Regularization2409.03489v1 · Nicolo Botteghi, Urban Fasel2024 · 0 citationsarXiv
Recurrent Deep Kernel Learning of Dynamical Systems2405.19785v3 · Nicolo Botteghi, Paolo Motta, Andrea Manzoni et al.2024 · 0 citationsarXiv
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies2403.15267v2 · Nicolo Botteghi, Urban Fasel2024 · 3 citationsarXiv
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning2401.16974v1 · Andreas W.M. Sauter, Nicolo Botteghi, Erman Acar et al.2024 · 0 citationsarXiv
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models2306.15512v1 · Nicolo Botteghi, Federico Califano, Mannes Poel et al.2023 · 2 citationsarXiv
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators2212.14253v1 · Yannik Wotte, Sven Dummer, Nicolo Botteghi et al.2022 · 6 citationsarXiv
Deep kernel learning of dynamical models from high-dimensional noisy data.36513711 · Botteghi, Nicolò, Guo, Mengwu, Brune, Christoph2022 · 16 citationsScientific reports. 2022;12(1):21530
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review2208.14226v3 · Nicolo Botteghi, Mannes Poel, Christoph Brune2022 · 33 citationsarXiv
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning2107.03685v1 · Nicolo Botteghi, Luuk Grefte, Mannes Poel et al.2021 · 5 citationsarXiv
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces2107.01667v1 · Nicolo Botteghi, Khaled Alaa, Mannes Poel et al.2021 · 8 citationsarXiv
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics2107.01677v1 · Nicolo Botteghi, Mannes Poel, Beril Sirmacek et al.2021 · 2 citationsarXiv
Low Dimensional State Representation Learning with Reward-shaped Priors2007.16044v2 · Nicolo Botteghi, Ruben Obbink, Daan Geijs et al.2020 · 4 citationsConference Proceedings 25th International Conference on Pattern Recognition (ICPR), 1, 2021, 3736-3743
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach2002.04109v1 · Nicolo Botteghi, Beril Sirmacek, Khaled A. A. Mustafa et al.2020 · 21 citationsarXiv
The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things2001.05514v1 · Andreas Kamilaris, Nicolo Botteghi2020 · 43 citationsarXiv
Sequential image processing methods for improving semantic video segmentation algorithms1910.13348v1 · Beril Sirmacek, Nicolo Botteghi, Santiago Sanchez Escalonilla Plaza2019 · 0 citationsarXiv
Career total: 41 works. 27 are in this corpus.
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