About Me

I am a Ph.D. student in Artificial Intelligence at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano, where I am advised by Prof. Nicola Gatti. During my Ph.D., I had the opportunity to be a visiting researcher at the Industrial Engineering & Operations Research (IEOR) Department at Columbia University, where I was fortunate to work with Prof. Christian Kroer. My current research focuses on online learning in constrained Markov decision processes. In particular, I am interested in combining online learning theoretical tools with optimization techniques to build strategic agents able to act in complex constrained online environments.

More details in my CV.

Contacts:
Email: francescoemanuele DOT stradi AT polimi.it

Publications

Conference Papers
  • Learning Adversarial MDPs with Stochastic Hard Constraints [ICML 2025]
    Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
    The 42nd International Conference on Machine Learning, ICML 2025, Vancouver, Canada
  • Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints [ICML 2025]
    Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
    The 42nd International Conference on Machine Learning, ICML 2025, Vancouver, Canada
  • Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization [ICLR 2025]
    Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
    The 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore
  • Bandits with Ranking Feedback [NeurIPS 2024]
    Davide Maran*, Francesco Bacchiocchi*, Francesco Emanuele Stradi*, Matteo Castiglioni, Nicola Gatti , Marcello Restelli
    The 37th Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver, Canada
  • Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints [ICML 2024]
    Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
    The 41st International Conference on Machine Learning, ICML 2024, Vienna, Austria
  • Online Learning with Off-Policy Feedback in Adversarial MDPs [IJCAI 2024]
    Francesco Bacchiocchi*, Francesco Emanuele Stradi*, Matteo Papini, Alberto Maria Metelli, Nicola Gatti
    The 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju Island, South Korea
  • Online Markov Decision Processes Configuration with Continuous Decision Space [AAAI 2024]
    Davide Maran*, Pierriccardo Olivieri*, Francesco Emanuele Stradi*, Giuseppe Urso, Nicola Gatti, Marcello Restelli
    The 38th AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada
  • Teaching

  • Probabilità e Statistica Matematica
    B.Sc. in Management Engineering
    TA during the academic years 2023-2024
  • Statistica
    B.Sc. in Mechanical Engineering
    TA during the academic years 2023-2024