Counterfactual Learning of Stochastic Policies with Continuous Actions

Houssam Zenati, Alberto Bietti, Matthieu Martin +3

Counterfactual reasoning from logged data has become increasingly important for many applications such as web advertising or healthcare. In this paper, we address the problem of le…