Marco Mussi
Scholar

Marco Mussi

Google Scholar ID: 3gca-JUAAAAJ
Postdoctoral Researcher, Politecnico di Milano
Machine LearningReinforcement LearningOnline Learning
Citations & Impact
All-time
Citations
145
 
H-index
8
 
i10-index
4
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Published at NeurIPS 2024: 'Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning'
  • Multiple papers published at ICML 2024, including 'Factored-Reward Bandits with Intermediate Observations', 'Best Arm Identification for Stochastic Rising Bandits', etc.
  • Published at AISTATS 2024: 'Autoregressive Bandits'
  • Published at ICML 2023: 'Dynamical Linear Bandits'
  • Multiple papers accepted at ICML 2025 and NeurIPS 2025 (to appear)