Nicolò Botteghi

According to our database, Nicolò Botteghi authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations.

Michiel Nikken, Nicolò Botteghi, Wesley Roozing, Federico Califano

CoRR, 2024

Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion.

Bishoy Gerges, Barbara Bazzana, Nicolò Botteghi, Youssef Aboudorra, Antonio Franchi

CoRR, 2024

Sparsifying Parametric Models with L0 Regularization.

Nicolò Botteghi, Urban Fasel

CoRR, 2024

Recurrent Deep Kernel Learning of Dynamical Systems.

Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo

CoRR, 2024

Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies.

Nicolò Botteghi, Urban Fasel

CoRR, 2024

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning.

Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models.

Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune

CoRR, 2023

2022

Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators.

Yannik P. Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano

CoRR, 2022

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review.

Nicolò Botteghi, Mannes Poel, Christoph Brune

CoRR, 2022

Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data.

Nicolò Botteghi, Mengwu Guo, Christoph Brune

CoRR, 2022

2021

Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics.

Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune

CoRR, 2021

Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning.

Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli

Proceedings of the Robot Intelligence Technology and Applications 6, 2021

Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces.

Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture.

Jochem Postmes, Nicolò Botteghi, Beril Sirmaçek, Andreas Kamilaris

Proceedings of the IoT '21: 11th International Conference on the Internet of Things, St. Gallen, Switzerland, November 8, 2021

2020

The penetration of Internet of Things in robotics: Towards a web of robotic things.

Andreas Kamilaris, Nicolò Botteghi

J. Ambient Intell. Smart Environ., 2020

On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach.

Nicolò Botteghi, Beril Sirmaçek, Khaled A. A. Mustafa, Mannes Poel, Stefano Stramigioli

CoRR, 2020

Low Dimensional State Representation Learning with Reward-shaped Priors.

Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Sequential image processing methods for improving semantic video segmentation algorithms.

Beril Sirmaçek, Nicolò Botteghi, Santiago Sanchez-Escalonilla Plaza

CoRR, 2019