There have been broad advances in the fields of Artificial Intelligence and Machine Learning (AI/ML) in the past decade, especially in the areas of Deep Learning and Reinforcement Learning (RL) which allow us to more easily learn predictive models and control policies for large, complex systems than ever before. One subset of problems that remains very challenging are domains that contain some form of spatially spreading process (SSP) where some local features change over time across based on proximity in space.