Nicolò Botteghi

Nicolò Botteghi

Universiteit Twente

H-index: 6

Europe-Netherlands

About Nicolò Botteghi

Nicolò Botteghi, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Deep Reinforcement Learning, Unsupervised Representation Learning, Dynamical Systems, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning

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

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

Discovering efficient periodic behaviors in mechanical systems via neural approximators

Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning

Deep kernel learning of dynamical models from high-dimensional noisy data

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

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

Nicolò Botteghi Information

University

Position

PhD candidate Robotics and Mechatronics

Citations(all)

152

Citations(since 2020)

151

Cited By

15

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Universiteit Twente

Google Scholar

View Google Scholar Profile

Nicolò Botteghi Skills & Research Interests

Deep Reinforcement Learning

Unsupervised Representation Learning

Dynamical Systems

Robotics

Top articles of Nicolò Botteghi

Title

Journal

Author(s)

Publication Date

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning

arXiv preprint arXiv:2401.16974

Andreas WM Sauter

Nicolò Botteghi

Erman Acar

Aske Plaat

2024/1/30

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

arXiv preprint arXiv:2403.15267

Nicolò Botteghi

Urban Fasel

2024/3/22

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

arXiv preprint arXiv:2306.15512

Nicolò Botteghi

Federico Califano

Mannes Poel

Christoph Brune

2023/6/27

Discovering efficient periodic behaviors in mechanical systems via neural approximators

Optimal Control Applications and Methods

Yannik P Wotte

Sven Dummer

Nicolò Botteghi

Christoph Brune

Stefano Stramigioli

...

2023/11

Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning

Nicolò Botteghi

Luuk Grefte

Mannes Poel

Beril Sirmacek

Christoph Brune

...

2021/12/16

Deep kernel learning of dynamical models from high-dimensional noisy data

Scientific reports

Nicolò Botteghi

Mengwu Guo

Christoph Brune

2022/12/13

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

Nicolò Botteghi

Mannes Poel

Christoph Brune

2022/8/27

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

arXiv preprint arXiv:2107.01677

Nicolò Botteghi

Mannes Poel

Beril Sirmacek

Christoph Brune

2021/7/4

Rlsnake: a Hybrid Reinforcement Learning Approach for Road Detection

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

N Botteghi

B Sirmacek

C Ünsalan

2021/6/28

Curiosity-driven reinforcement learning agent for mapping unknown indoor environments

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Nicolò Botteghi

B Sirmacek

M Poel

C Brune

R Schulte

2021/6/17

A system for efficient path planning and target assignment for robotic swarms in agriculture

Jochem Postmes

Nicolò Botteghi

Beril Sirmacek

Andreas Kamilaris

2021/11/8

Low Dimensional State Representation Learning with Reward-shaped Priors

Nicolò Botteghi

Ruben Obbink

Daan Geijs

Mannes Poel

Beril Sirmacek

...

2021/1/10

Robotics deep reinforcement learning with loose prior knowledge

Nicolò Botteghi

2021/10/6

REINFORCEMENT LEARNING HELPS SLAM: LEARNING TO BUILD MAPS

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

N Botteghi

Beril Sirmacek

R Schulte

M Poel

C Brune

2020/8/25

Multi-agent path planning of robotic swarms in agricultural fields

Nicolò Botteghi

Andreas Kamilaris

Lior Sinai

Beril Sirmaçek

2020/8/3

On reward shaping for mobile robot navigation: A reinforcement learning and SLAM based approach

arXiv preprint arXiv:2002.04109

Nicolò Botteghi

Beril Sirmacek

Khaled AA Mustafa

Mannes Poel

Stefano Stramigioli

2020/2/10

Entropy-based exploration for mobile robot navigation: a learning-based approach

Planning and robotics workshop, PlanRob

Nicolo Botteghi

Mustafa Khaled

Beril Sirmacek

Mannes Poel

2020

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

Journal of ambient intelligence and smart environments

Andreas Kamilaris

Nicolò Botteghi

2020/1/1

See List of Professors in Nicolò Botteghi University(Universiteit Twente)

Co-Authors

H-index: 36
Mannes Poel

Mannes Poel

Universiteit Twente

H-index: 22
Christoph Brune

Christoph Brune

Universiteit Twente

H-index: 10
Federico Califano

Federico Califano

Universiteit Twente

H-index: 9
Mengwu Guo

Mengwu Guo

Universiteit Twente

H-index: 5
Daan Geijs

Daan Geijs

Radboud Universiteit

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