Nicola Gatti

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

Delayed Adversarial Attacks on Stochastic Bandits

Attacking Combinatorial Bandits: Beyond Bounded Rewards

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

Taming Adversarial Constraints in CMDPs

Markov Persuasion Processes: Learning to Persuade From Scratch

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

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