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Nicol\`o Botteghi — most-cited papers & profile · Reinforcement Learning
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overview
Nicol\`o Botteghi
16
papers ·
23
citations
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Most-cited papers
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
2022 · 4 citations
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
2021 · 1 citations
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems
2026
Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems
2026
HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
2025
HypeRL: Hypernetwork-Based Reinforcement Learning for Control of Parametrized Dynamical Systems
2025
Low Dimensional State Representation Learning with Reward-shaped Priors
2020
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces
2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
2021
Top co-authors
Beril Sirmacek
· 4
Christoph Brune
· 4
Mannes Poel
· 4
Andrea Manzoni
· 2
Matteo Tomasetto
· 2
Abeje Mersha
· 1
Abeje Mersha and Stefano Stramigioli
· 1
Andrea Manzoni
· 1
Andrea Manzoni
· 1
and Stefano Stramigioli
· 1
Christoph Brune
· 1
Daan Geijs
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Safe RL
Meta-RL
Multi-Agent
Value-Based