Francesco Emanuele Stradi

According to our database, Francesco Emanuele Stradi authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Replicable Constrained Bandits.

Matteo Bollini, Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi

CoRR, February, 2026

Truly Adapting to Adversarial Constraints in Constrained MABs.

Francesco Emanuele Stradi, Kalana Kalupahana, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, February, 2026

2025

Beyond Slater's Condition in Online CMDPs with Stochastic and Adversarial Constraints.

Francesco Emanuele Stradi, Eleonora Fidelia Chiefari, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, September, 2025

No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!

Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Christian Kroer

CoRR, June, 2025

Data-Dependent Regret Bounds for Constrained MABs.

Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, May, 2025

Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints.

Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning Adversarial MDPs with Stochastic Hard Constraints.

Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization.

Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback.

Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, 2024

A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints.

Francesco Emanuele Stradi, Filippo Cipriani, Lorenzo Ciampiconi, Marco Leonardi, Alessandro Rozza, Nicola Gatti

CoRR, 2024

Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraints.

Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, 2024

Markov Persuasion Processes: Learning to Persuade from Scratch.

Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, 2024

Bandits with Ranking Feedback.

Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti, Marcello Restelli

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Online Learning with Off-Policy Feedback in Adversarial MDPs.

Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints.

Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Markov Decision Processes Configuration with Continuous Decision Space.

Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi, Giuseppe Urso, Nicola Gatti, Marcello Restelli

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints.

Jacopo Germano, Francesco Emanuele Stradi, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

CoRR, 2023