Nicolò Botteghi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Dynamical Systems

Reinforcement Learning

Causal Discovery

Low Dimensional

Top Venues

J. Ambient Intell. Smart Environ.

Publications

Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo
Recurrent Deep Kernel Learning of Dynamical Systems. CoRR (2024)
Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. CoRR (2024)
Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. AAMAS (2024)
Nicolò Botteghi, Urban Fasel
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies. CoRR (2024)
Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR (2023)
Yannik Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR (2022)
Nicolò Botteghi, Mengwu Guo, Christoph Brune
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR (2022)
Nicolò Botteghi, Mannes Poel, Christoph Brune
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. CoRR (2022)
Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA (2021)
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. IROS (2021)
Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR (2021)
Jochem Postmes, Nicolò Botteghi, Beril Sirmaçek, Andreas Kamilaris
A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture. IOT (2021)
Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR (2021)
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 (2021)
Andreas Kamilaris, Nicolò Botteghi
The penetration of Internet of Things in robotics: Towards a web of robotic things. J. Ambient Intell. Smart Environ. 12 (6) (2020)
Andreas Kamilaris, Nicolò Botteghi
The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things. CoRR (2020)
Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR (2020)
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 (2020)
Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR (2020)
Beril Sirmaçek, Nicolò Botteghi, Santiago Sanchez Escalonilla Plaza
Sequential image processing methods for improving semantic video segmentation algorithms. CoRR (2019)