Francesco Emanuele Stradi

19 papers A* 7Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Replicable Constrained Bandits.
CoRR
Matteo Bollini, Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi
2026 J jnl
Truly Adapting to Adversarial Constraints in Constrained MABs.
CoRR
Francesco Emanuele Stradi, Kalana Kalupahana, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2025 J jnl
Beyond Slater's Condition in Online CMDPs with Stochastic and Adversarial Constraints.
CoRR
Francesco Emanuele Stradi, Eleonora Fidelia Chiefari, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2025 J jnl
Data-Dependent Regret Bounds for Constrained MABs.
CoRR
Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2025 A* conf
Learning Adversarial MDPs with Stochastic Hard Constraints.
ICML
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2025 J jnl
No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
CoRR
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Christian Kroer
2025 A* conf
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization.
ICLR
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2025 A* conf
Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints.
ICML
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2024 J jnl
A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints.
CoRR
Francesco Emanuele Stradi, Filippo Cipriani, Lorenzo Ciampiconi, Marco Leonardi, Alessandro Rozza, Nicola Gatti
2024 A* conf
Bandits with Ranking Feedback.
NeurIPS
Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti, Marcello Restelli
2024 J jnl
Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback.
CoRR
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2024 J jnl
Learning Adversarial MDPs with Stochastic Hard Constraints.
CoRR
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2024 J jnl
Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraints.
CoRR
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2024 J jnl
Markov Persuasion Processes: Learning to Persuade from Scratch.
CoRR
Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2024 A* conf
Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints.
ICML
Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2024 A* conf
Online Learning with Off-Policy Feedback in Adversarial MDPs.
IJCAI
Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti
2024 A* conf
Online Markov Decision Processes Configuration with Continuous Decision Space.
AAAI
Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi, Giuseppe Urso, Nicola Gatti, Marcello Restelli
2024 J jnl
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization.
CoRR
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
2023 J jnl
A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints.
CoRR
Jacopo Germano, Francesco Emanuele Stradi, Gianmarco Genalti, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti