What matters in reinforcement learning for tractography

Antoine Théberge, Christian Desrosiers, Arnaud Boré, Maxime Descoteaux, Pierre-Marc Jodoin

Abstract: Highlights•Clear set of pitfalls to avoid and recommendations when learning the tractography procedure using reinforcement learning.•Evaluation of multiple input signal, reward function and tracking procedure formulations to guide future research on the subject.•Open-sourced codebase, trained models and datasets to facilitate usage and improvements.