Alberto Maria Metelli

Imitation Learning as Return Distribution Matching

Robustness in the Face of Partial Identifiability in Reward Learning

Gym4ReaL: Towards Real-World Reference Environments for Reinforcement Learning

Tightening Regret Lower and Upper Bounds in Restless Rising Bandits

Learning Utilities from Demonstrations in Markov Decision Processes

Generalized Kernelized Bandits: Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds

Spectral Learning for Infinite-Horizon Average-Reward POMDPs

Sleeping Reinforcement Learning

Learning Utilities from Demonstrations in Markov Decision Processes

Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity

Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback

No-regret Learning with Revealed Transitions in Adversarial Markov Decision Processes