Reinforcement learning

Active Learning Policies for Solving Inverse Problems

We propose to learn an active learning policy for inverse problem optimisation.

Switching policies for solving inverse problems

We propose to learn a switching policy for inverse problem optimisation.

Experimental design for MRI by greedy policy search

We use policy gradient methods to learn active acquisition policies for improving MRI reconstruction.