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Matteo Papini — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Matteo Papini
22
papers ·
48
citations ·
9
h-index
University of Milan · Politecnico di Milano
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Policy Optimization via Importance Sampling
2018 · 23 citations
Stochastic Variance-Reduced Policy Gradient
2018 · 16 citations
Smoothing Policies and Safe Policy Gradients
2019 · 6 citations
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
2021 · 2 citations
No-Regret Reinforcement Learning in Smooth MDPs
2024 · 1 citations
Actor-Critic with Active Importance Sampling
2026
Impact of Connectivity on Laplacian Representations in Reinforcement Learning
2026
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
2026
Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning
2025
Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes
2025
Reusing Trajectories in Policy Gradients Enables Fast Convergence
2025
Policy Optimization as Online Learning with Mediator Feedback
2020
Online Learning with Off-Policy Feedback
2022
Offline Primal-Dual Reinforcement Learning for Linear MDPs
2023
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
2024
Top co-authors
Alberto Maria Metelli
· 13
Marcello Restelli
· 8
Marco Mussi
· 5
Alessandro Montenegro
· 4
Davide Maran
· 3
Matteo Pirotta
· 3
and Marcello Restelli
· 2
Gergely Neu
· 2
Germano Gabbianelli
· 2
Pierriccardo Olivieri
· 2
Aldo Pacchiano
· 1
Alessandro Gianola
· 1
Topics
Policy Gradient
Model-Based RL
Exploration
Safe RL
Value-Based
Offline RL
Meta-RL