A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints. - Jacopo Germano; Francesco Emanuele Stradi; Gianmarco Genalti; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (CoRR, 2023)

Online Markov Decision Processes Configuration with Continuous Decision Space. - Davide Maran; Pierriccardo Olivieri; Francesco Emanuele Stradi; Giuseppe Urso; Nicola Gatti 001; Marcello Restelli (AAAI, 2024)

Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints. - Francesco Emanuele Stradi; Jacopo Germano; Gianmarco Genalti; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (ICML, 2024)

Online Learning with Off-Policy Feedback in Adversarial MDPs. - Francesco Bacchiocchi; Francesco Emanuele Stradi; Matteo Papini; Alberto Maria Metelli; Nicola Gatti 001 (IJCAI, 2024)

Bandits with Ranking Feedback. - Davide Maran; Francesco Bacchiocchi; Francesco Emanuele Stradi; Matteo Castiglioni; Nicola Gatti 001; Marcello Restelli (NeurIPS, 2024)

Markov Persuasion Processes: Learning to Persuade from Scratch. - Francesco Bacchiocchi; Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (CoRR, 2024)

Learning Adversarial MDPs with Stochastic Hard Constraints. - Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (CoRR, 2024)

Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraints. - Francesco Emanuele Stradi; Anna Lunghi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (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 001 (CoRR, 2024)

Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback. - Francesco Emanuele Stradi; Anna Lunghi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (CoRR, 2024)

Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization. - Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (ICLR, 2025)

Data-Dependent Regret Bounds for Constrained MABs. - Gianmarco Genalti; Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001 (CoRR, 2025)

No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! - Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Christian Kroer (CoRR, 2025)