Alberto Marchesi

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

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

Markov Persuasion Processes: Learning to Persuade From Scratch

Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time

Taming Adversarial Constraints in CMDPs

Data-Dependent Regret Bounds for Constrained MABs

Learning Adversarial MDPs with Stochastic Hard Constraints

Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization

Contract Design Under Approximate Best Responses

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

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

Markov Persuasion Processes: Learning to Persuade From Scratch

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