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Home/Authors/Matteo Pirotta

Matteo Pirotta

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 16, 2026, 8:53 AM AMS

10

papers

237

total citations

papers (10)

Adversarial Attacks on Linear Contextual Bandits

NEURIPS 2020arXiv

Local Differential Privacy for Regret Minimization in Reinforcement Learning

NEURIPS 2021arXiv

Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret

NEURIPS 2021arXiv

An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits

NEURIPS 2020arXiv

Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection

NEURIPS 2021arXiv

A Provably Efficient Sample Collection Strategy for Reinforcement Learning

NEURIPS 2021arXiv

Improved Sample Complexity for Incremental Autonomous Exploration in MDPs

NEURIPS 2020arXiv

Temporal Difference Flows

Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees

NEURIPS 2022arXiv

Simple Ingredients for Offline Reinforcement Learning