Functional Natural Policy Gradients

Aurelien Bibaut, Houssam Zenati, Thibaud Rahier +1

We propose a cross-fitted debiasing device for policy learning from offline data. A key consequence of the resulting learning principle is $\sqrt{N}$ regret even for policy classes…