2 papers
stat.ML2026
Full Bayesian Reinforcement Learning via LF-IBIS
Stefano Masini, Cecilia Viscardi, Michela Baccini
Reinforcement Learning (RL) is a sequential decision-making framework in which an agent learns optimal policies through interaction with an environment by maximizing cumulative rew…
stat.ME2026
Forecasting Causal Effects of Future Interventions: Confounding and Transportability Issues
Laura Forastiere, Fan Li, Michela Baccini
Recent developments in causal inference allow us to transport a causal effect of a time-fixed treatment from a randomized trial to a target population across space but within the s…